Abstract
The increase in infections caused by multi-resistant Gram-negative bacteria, like Stenotrophomonas maltophilia, has become a growing health crisis worldwide. S. maltophilia poses a risk because of its tendency to opportunistically infecting patience for example through colonization of catheters in hospital environments using its intrinsic resistance against multiple antibiotics. Through the COVID-19 pandemic it gained more prominence by being a key pathogen in respiratory co-infections. This study will present a structural analysis of StmPr1, S. maltophilia’s main virulence factor, an excreted serine protease. Our study outline structure and functional aspects of StmPr1, revealing a unique autoproteolytic activity resulting in a shortened version of the active enzyme. We also investigated the potential of two groups of peptide-based inhibitors, one being acetyl- and the other being boron-based inhibitors. The focus here lies on Bortezomib, a boron-based serine protease inhibitor, and its potential therapeutic use against S. maltophilia. We provide a structure-function analysis which includes X-ray crystallography data with resolutions ranging from 1.64 to 2.08 Å, molecular dynamic simulations and small-angle X-ray scattering (SAXS) experiments. These data provide a deeper understanding of StmPr1’s resilience and mechanisms, while highlighting the relevance of StmPr1’s C-terminal extension for correct folding and its stability. Moreover, it also shows that StmPr1 is promising target for further drug discovery investigations to identify compounds and drugs to treat S. maltophilia infections.
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Introduction
The globally rising number of deaths related to multi-resistant Gram-negative bacteria has emerged to be one of the most challenging clinical and public health problems during the last years1,2. While immense progress in pharmaceutical and drug discovery research has been achieved, it remains a challenge to treat several distinct infectious diseases. Particularly nosocomial infections caused by opportunistic Gram-negative pathogens are increasingly difficult to treat, caused by rising intrinsic and acquired antibiotic resistance3. A Gram-negative multi-resistant opportunistic pathogen of increasing relevance is Stenotrophomonas maltophilia. S. maltophilia is a non-fermenting Gram-negative bacillus that can be isolated globally. It is found in different environmental sources, such as water, soil, sediment, plants, and animals4,5,6,7,8. Despite not being inherently virulent, it causes serious infections in immunocompromised patients, including pneumonia, catheter-associated bacteremia/septicemia, osteochondritis, mastoiditis, meningitis, and endocarditis. It is associated with crude mortality rates ranging from approx. 15% to 70% in bacteremia patients9,10,11,12. Due to its role in nosocomial infections, S. maltophilia has increasingly become the focus of biomedical research over the last two decades. Reported S. maltophilia cases are rising considerably, becoming the most common Gram-negative carbapenem-resistant pathogen found in bacteremia particularly in hospitals13,14. Besides carbapenem, it is intrinsically resistant to multiple antibiotics, including multiple broad-spectrum antibiotics12. The bacterium is frequently found in patients with cystic fibrosis, with the frequency ranging from 10 to 30%15. During the COVID-19 pandemic, S. maltophilia was identified to be the main pathogen involved in respiratory co-infections and bacteremia in critically ill COVID-19 patients. S. maltophilia found in sputum samples of such patients showed the highest rates of multidrug resistance among bacteria infecting COVID-19 patients16,17,18. This role in polymicrobial bacterial communities is of increasing relevance given its ability to influence neighboring microorganisms’ metabolism by antagonistic suppression or by symbiotic coexistence. S. maltophilia colonizes cystic fibrosis patients alongside Pseudomonas aeruginosa, Staphylococcus aureus, or Burkholderia cenocepacia19,20. Besides its role in polymicrobial bacterial communities, S. maltophilia shows a broad spectrum of virulence factors consisting of surface cell-associated structures and a wide spectrum of extracellular enzymes21. Our investigation focused on obtaining insights into the structure-function-relationship of one of the main extracellular enzymes, the secretory protease StmPr1.
StmPr1 is a subtilisin-like serine protease22. In general, those subtilases are globular proteins with a molecular weight of approx. 27 kDa. Interestingly, the gene of the main protease stmpr1 codes for a 63 kDa precursor, which is processed to a mature protein of 47 kDa. The main reason for the size difference is a C-terminal extension normally not found in other subtilases. We also found that the 47 kDA protein digests itself to a 36 kDa protein over a period of approx. 7 days. Furthermore, we investigate the potential of Bortezomib, a boron-based pseudopeptide serine protease inhibitor already used in cancer treatment, for its potential use as an alternative in S. maltophilia treatment23.
Results and discussion
StmPr1 36 kda structure analysis
StmPr1’s 36 kDa structure, solved and analyzed by x-ray crystallography, shares structural similarities with other subtilases, first described by Wright et al. for subtilisin BPN’24. The catalytic triad consisting of Asp42, His105, and Ser289 is located on top of β1 (Asp42), α4 (His105), and α10 (Ser289) (Figs. 1a and 2). Ser289 also forms the oxyanion hole together with Asp207 stabilizing the tetrahedral transition state shown for PMSF and Bortezomib in Fig. 3g and h. StmPr1 has the subtilase-typical α/β fold formed by seven, instead of eight, parallel β-sheets with five α-helices surrounding the sheets where four helices are antiparallel to the sheets. While α4, α5, α6, and α10 surround the sheets in an antiparallel manner, α11 supports the structure stability from the bottom (Fig. 1a & c). Of the eight sheets, number 3 is antiparallel, whereas β1, β2, β4, β5, β7, β9, and β10 form the parallel core (Fig. 1b). Whilst the parallel structures increase to some extent flexibility and allow better adaption to several substrates, the antiparallel conformation on the periphery of the protein increases its stability25. Besides the seven parallel β-sheets forming the core, StmPr1 shows only antiparallel β-sheet formations in β2/β3, β6/β8, and β11/β12, all located on the fringes of the structure and therefore supporting the structural stability in most loop-rich regions of the protein. The β11/β12 formation is a structure also found in other subtilases like subtilisin BPN’24 Proteinase K26 or Thermitase27 supporting the 3D structure of the substrate binding cleft (Figs. 1c and 3i and j).
Cartoon and topology plot of StmPr1 36 kDa. (a) The secondary structure, solved by X-ray crystallography, is indicated in different colors. Loops are depicted in green, sheets in yellow and helices in red. (b) The topology plot is depicted in the same color scheme and highlights the Ca-binding site and catalytic triad. (c) Top view of the secondary structure indicated in the same colors to show secondary structure features missing in a). The structure is rotated by 90° with the active site on top. Inserts 1–4 highlight relevant structural elements of StmPr1. The two disulfide bridges (Cys93-Cys141, 1 and Cys183 - Cys220, 3), the catalytic triad (2) and the calcium binding site (4) are highlighted in their own window.
However, none of the aforementioned shares β6/β8 with StmPr1. Despite being only short sheets, two amino acids each, β6/β8 supports key regions with β6 located between the connection of β5 and α6 and β8 being located in between β7 and β9 (Fig. 1). This loop is also shorter compared to subtilisin BPN’24 and subtilisin Carlsberg28 matching the structure of Proteinase K26 and Thermitase27. A further structure separating the element of StmPr1 from the other subtilases is α7, a short helix close to β8. StmPr1 shares both features with the cold-active serine protease Pro2171729. Both adaptations most likely expand the temperature tolerance by increasing the stability of the surface loop30,31.
Another adaptation affecting thermostability is the region around Asp5, Asp51, Gln116, Asn119, Val121 and Met123. These residues form a calcium-binding site, coordinating a single Ca²⁺ ion in a pentagonal bipyramidal arrangement through the carboxyl groups of Asp5 and Asp51, as well as the oxygen atoms of Gln116, Val121, and Met123 and the carbamoyl group of Asn119, which also contributes to local stability. Furthermore, Richardson et al. postulates that intracellular calcium levels play a role in preventing intracellular proteolysis by being too low to produce an active protein32. This represents a mechanism relevant to a broad-spectrum serine protease like StmPr122.
The protein also has two disulfide bonds, Cys93 - Cys141 and Cys183 - Cys220. The latter of which connects the earlier described loop connecting β5 and α6 to the loop connecting β7 and β9, additionally strengthening this region. Cys93-Cys141 links the loop connecting β1 and α5 to a loop covering the catalytic triad, beginning directly behind β3 at Gly79 and going to Ser103 on top of α4. Thereby, it strengthens the connection of the loop to the core structure helping to form a kind of lid above the substrate binding cleft. This lid is a loop insertion, not present in subtilisin BPN’24 Proteinase K26 Thermitase27 or subtilisin Carlsberg28. Nevertheless, StmPr1 shares this loop insertion with Pro2171729. The lid may facilitate and support two distinct functions, on the one hand, the lid may move to block the entry into the substrate binding cleft, thereby preventing unwanted binding to the catalytic triad. Thus, dampening the effectiveness of possible inhibitors. On the other hand, closing it also stabilizes potential substrates inside the substrate-binding cleft. This increases proteolytic activity, and also potentially widens substrate specificity by retaining less-suited substrates. Further insight into this mechanism comes from understanding the lid’s movement in solution. To gain this insight, we performed molecular dynamics simulations of StmPr1 using the crystallographically obtained structure as a model. The StmPr1 protease exhibits some special and additional structural features, like a relatively high content of Glu and Asp residues and a relatively low content of Arg and Lys residues on the surface, which may give the enzyme the ability to be active in an alkaline environment. This corresponds to the observation that StmPr1 is classified as an alkaline protease with an optimum pH of 9.
Molecular dynamics simulation analysis of StmPr1 36 kda
To further analyze the internal movement of Stmpr1 36 kDa a molecular dynamics simulation was performed, simulating how the structure behaves for 100 ns under physiological conditions (310.15 K, solvent water with 0.15 M sodium chloride) (Fig. 2). The RMSF values match the B-factor values of the crystallographic structure (Fig. 2b & c), showing a stable core with only small variations. Peripheral structures are more flexible in both models (Fig. 2c), especially the already discussed loop regions between β5 and α6, as well as the lid loop connecting β3 and α4. The β5/α6 loop moves through the simulation over a range of approx. 30°, while the β3/α4 lid covers a range of approx. 35°. Such movements change the distance between Tyr94/Ser180 by a total of 4.8 Å, effectively covering P2 and P3 of the substrate binding cleft. Whereas the amino acids Gly142 and Gly179 close the gap between each other for approx. 1/3 by 3.2 Å, thereby covering the P1 and P4 position.
Flexibility analysis of StmPr1 36 kDa, Molecular Dynamics Simulation ran for 100 ns. (a) 250 frames extracted over the simulation superimposed. Delineations of flexible and rigid regions of the lid region over the catalytic triad are annotated. (b) Root Mean Square Fluctuation (RMSF) and B-factor plots displaying changes in Cα, backbone, side chains, and heavy atoms for each residue. Different colors show different secondary structure elements: α-helices, blue, and β-sheets, pink. (c) Average B-factor of diffraction data compared with RMSF values of the MD simulation. The cartoon representation of StmPr1 36 kDa is color-coded to emphasize variations in B-factor values, with colder colors representing lower B-factor values, further highlighting structural dynamic. Simulations were done with Schoedinger’s Maestro Suite33.
This most likely would increase the binding of any substrate bond to the protein by covering the binding cleft but also may hinder potential inhibitors from binding to the catalytic triad or other positions inside the cleft34. Despite this being presumably a cyclic opening and closing, offering windows in which a substrate or inhibitor may bind, it shows a much stronger defense and trap mechanism compared to the other subtilisins not showing such adaptations. The fact that these adaptations appear only in other temperature-specialized proteases, such as Pro2171729, likely arises from their potential advantage in stabilizing proteolytic activity when temperature fluctuations alter molecular movement. At higher temperatures, they help to trap the substrate, despite increased molecular motion, while at lower temperatures, they can create a kind of flow that guides the substrate into the substrate-binding cleft despite slower molecular movement35.
Inhibitors of StmPr1
To understand the interaction of StmPr1 with inhibitors, we investigated structures of StmPr1 in complex with the well-known protease inhibitor PMSF and the peptide aldehyde inhibitors Leupeptin and Chymostatin, as well as the peptide-like boron-based inhibitor Bortezomib (Fig. 3). Bortezomib is a proteasome inhibitor, using a boronic acid residue to reversibly bind at the active serine of serine proteases. It is used in the treatment of multiple myeloma and mantle cell lymphoma. There it is used in monotherapy or combination therapy23.
Binding characterization of PMSF, Bortezomib, Leupeptin and Chymostatin with StmPr1 36 kDa. Panel a) shows the 2D structure of Phenylmethyl sulfonyl fluoride (PMSF), c) shows the 2D structure of Bortezomib, e) shows the 2D structure of Leupeptin and g) shows the 2D structure of Chymostatin. Under that the ligands PMSF (i), Bortezomib (j), Leupeptin(k) and Chymostatin (l) are embedded into the electron density at sigma level 2.0 in the omit map. Beside that activity curves show StmPr1 36 kDa’s activity and IC50 against PMSF (b), Bortezomib (d), Leupeptin (f) and Chymostatin (h). Dashed lines represent the hydrogen bonds for (m) PMSF, (n) Bortezomib, (o) Leupeptin and (p) Chymostatin. Below that are the substrate binding cleft with PMSF (q), Bortezomib (r), Leupeptin (s) and Chymostatin (t).
Accommodating the low solubility of ammonium sulfate in dimethyl sulfoxide, the solvent for Bortezomib, we adjusted the crystallization condition. Instead of 1.8 M ammonium sulfate, 0.1 M Tris, and a pH of 8, we used 0.9 M ammonium sulfate, 0.4 M lithium sulfate, and 0.1 M sodium citrate at pH 6. Thus, we lowered the ammonium sulfate concentration and pH to a point where occasional precipitation doesn’t affect the soaking and fishing of the crystals too much. Despite the changed conditions the resulting crystals show the same cell constants and diffracted to a similar resolution (Table 1). All inhibitors bind covalently to Ser289, forming a tetrahedral transition state supported by the main chain amid of Ser289 and the sidechain amino group of Asp207. PMSF is further stabilized by a water molecule and Bortezomib is stabilized by the catalytic triad His105 (Fig. 3m & n). Additionally, Bortezomib is stabilized at its position by Ser176 forming a H-bond to the nitrogen of the phenylalanine part of Bortezomib. The oxygen of the peptide bond between pyrazinoic acid and phenylalanine connects via H-bond to Gly178. Moreover, three water molecules stabilize Bortezomib through H-bonds with the nitrogen of the pyrazinoic acid and oxygen of the peptide bond connecting phenylalanine and borono-leucine (Fig. 3c & n). The complex with Leupeptin is supported by a water molecule mediated H-bonds at its guanidine residue and the oxygen of its alanine residue. Furthermore, it forms a hydrogen bond with Gly178 (Fig. 3f & o). The binding of Chymostatin is supported via H-bonds to Gly286 and Gly143. Water further stabilizes Chymostatin at its propanal and acetic acid residue (Fig. 3g & p).
Besides the covalent bond to Ser289, the phenyl part of PMSF is coordinated into the P1 site of the substrate binding cleft. Leupeptin shows a similar coordination with its guanidine residue located in P1, while the remaining part of the molecule extents over P2, with one leucine, to P3 being occupied by the other leucine and the alanine residue. For Bortezomib the P1 site is occupied by the methyl group of borono-leucine. The phenylalanine is located in the P2 site, while the pyrazinoic acid occupies P3.
Chymostatin shows a similar occupation pattern but extends further with its phenylalanine residue located in P4. This stronger bond also explains why Bortezomib and Chymostatin show much higher potential as inhibitors for StmPr1. While PMSF shows a IC50 of 125,43 µM needing a concentration of 1 mM to totally eradicate enzymatic activity and Leupeptin even shows a higher IC50 with 130,3 µM, Bortezomib has an IC50 of 1,97 µM, eradicating the activity at 100 µM and Chymostatin has an IC50 of 0,04 µM and needs 10 µM for total inhibition (Fig. 3b, d, f & h). The even lower IC50 of Chymostatin most likely stems from two main differences, while P1 is occupied with Bortezomib by a methyl group, Chymostatin binds to the P1 with a phenol ring further stabilizing the oxyanion hole. Furthermore, Chymostatin extends also into the P4 site, while Bortezomib only reaches the P3 site. While the lower IC50 highlights Chymostatins as a potential inhibitor for StmPr1, Bortezomib has the advantage of being an already approved medical drug, which is already in use as a proteasome inhibitor in cancer treatment. Therefore, Bortezomib is a solid inhibitor for StmPr1 using the combination of the pseudo-peptide structure with the strong binding capacity of boronic acid to block the catalytic triad by binding the active serine covalently, while the bond is supported by His105. Meanwhile, the peptide-like structure of Bortezomib blocks the P1, P2, and P3 sites of the substrate binding cleft. To compare StmPr1 with a subtilase, not showing the combinations structure of β5/α6 loop and β3/α4 lid, we did the same assays for Bortezomib with Proteinase K (Supplemental information). Proteinase K missing those adaptations has an IC50 of 1.45 µM and 40 µM Bortezomib is sufficient to stop the enzyme activity entirely. This further supports the proposed idea, that the adaptations of StmPr1 increase its resistance against inhibitors compared to other subtilases missing the lid structure formed by β5/α6 and β3/α4.
StmPr1’s place in the subtilisin family
StmPr1 is a member of the subtilases family defined by Siezen & Leunissen et al.36. It shows the main structural and functional elements of the family, such as a reactive triad consisting of Asp42, His105, and Ser28922. A single Calcium ion binds in a cleft at amino acids Asp5, Asp51, Gln116, Val121, and Met123. The oxyanion hole is located at Ser289 and Asn207 (Figs. 3 and 4) and two disulfide bridges support the structure stability (Figs. 1 and 4). Additionally, StmPr1 shows a broad substrate specifity22. To further analyze the place of StmPr1 in the subtilases family we used ESPript 3.037 to create sequence alignments comparing StmPr1 to members of each sub-family (Fig. 4). The most homologous structure, regarding the sequence, is Thermitase27. The same holds for the structural alignment done via DALI server38 with a structural identity of 47%. While subtilisin Carlsberg28 and Proteinase K26 are close to that, both are structure-wise significantly less homologous with 42% and 38% respectively (Fig. 4a). Another indicator for the closer relationship to Thermitase27 is StmPr1’s thermal stability, as shown in Fig. 5c & e, StmPr1 is structurally stable up to 55 °C and arguably even up to 60 °C, considering the CD spectra we collected and analyzed from running a melting curve experiment using the J-815 CD spectrometer. Such increased heat resilience is a further indication of StmPr1 potentially belonging to the Thermitase family or being closely related to it. All these factors are valid not just for the 36 kDa variant but also for the 47 kDa variant. The values change, with Thermitase27 just having 35% and Furinsurpassing Proteinase K26 and subtilisin Carlsberg28 with 33%, over 29% and 32% of the strutures aligning respectively (Fig. 4b).
Sequence alignment of StmPr1 36 kDa and 47 kDa, Subtilisin Carlsberg from Bacillus licheniformis, Themitase from Thermoactinomyces vulgaris, Proteinase K from Tritirachium album limber, NisP from Lactococcus lactis, Furin from Mus Musculus and Cucumisin from Cucumis melo. Percentile values showing the structural identity of the proteins using the DALI server37. Identical amino acids are highlighted in red. Secondary structure elements of StmPr1 are indicated on top of the sequences. Calcium binding amino acids are marked with a green CA and the oxyanion hole is marked with black cycles. A dotted box highlights the PPC region unique to 47 kDa StmPr1. The figure was adopted using Figures created by ESPript 3.036.
Meanwhile, resilience against heat is slightly higher with more of the secondary structure elements surviving to higher heat levels (Fig. 5d & f). The change in structural homology is a result of considering the addition of the 11 kDa C-terminus, missing in Proteinase K26 and subtilisin Carlsberg28. Such extensions are identified in other similar subtilases like Pro2171729 or BprV39 but are cut through the maturing process. That is not the case for StmPr1 which is excreted with a C-terminal extension leading to a 47 kDa version of StmPr1.
The extension nevertheless is the target of autoproteolytic activity and over seven days at 20 °C 47 kDa StmPr1 digests itself to 36 kDa (Fig. 6).
(a) SDS-PAGE of a 14-day self-digestion of StmPr1 from 47 kDa to 36 kDa at 20 °C. Showing the self-digestion process also observed for crystallization experiments. (b) SDS-PAGE of StmPr1 36 kDa showing both variants appearing in each expression of the 36 kDa StmPr1 plasmid and showing the corresponding CD spectra. SDS-PAGE in b) is cropped from the gel in the supplemental information.
The unique behavior and the C-terminal extension are indicators that StmPr1 may not be a part of the Thermitase family after all but is instead forming its own sub-family potentially in between Proprotein convertases and Thermitase.
StmPr1 47 kda structural analysis
We used AlphaFold3 to predict the structure of the 47 kDa version of StmPr1, resulting in the structure presented in Figure 7. The structure shows some differences from the crystallographic obtained structure presented in Figure 1. The structure predicted by AlphaFold shortens most helices or sheets by one or two residues, but more importantly, several smaller structural formations, such as β2, β3, β6, and β8 of the 36 kDa structure, are missing. Equally missing are its α7 and α8 helices, while α1 is split into two helices by excluding Gln12. These variations are likely due to the inherent limitations of AlphaFold’s algorithm, which predicts residue torsion angles and may either overlook or inaccurately represent uncommon peripheral structures unique to StmPr1. This is primarily because its training data contains limited evolutionary examples of such structures and exhibits a bias toward ordered conformations. Consequently, the algorithm may incorrectly model helices within predominantly disordered regions. Therefore, the likelihood of AlphaFold predicting the smaller structures on the fringes of the model, which it misses examples for, is diminished40,41,42.
Cartoon and topology plot of StmPr1 47 kDa. (a) The secondary structure, predicted using AlphaFold3, is indicated in different colors. Loops are depicted in green, sheets in yellow and helices in red. (b) The topology plot is depicted in the same color scheme and highlights the Ca-binding site and catalytic triad. (c) Top view of the secondary structure indicated in the same colors to show secondary structure features missing in a). The two disulfide bridges (Cys93-Cys141, 1 and Cys183 - Cys220, 3) and the catalytic triad (2) are highlighted individual.
Also, this was observed in slightly lesser pLDDT scores for the residues in the regions (Fig. 8b & c). Nevertheless, the main difference is the C-terminal extension consisting of eight anti-parallel coordinated β-sheets connected with small loop portions and linked to the main structure with a longer loop. The structure resembles the C-terminal extension of Furins with the sequence being slightly shorter.
Flexibility analysis of StmPr1 36 kDa, Molecular Dynamics Simulation ran for 100 ns. (a) 250 frames extracted over the simulation superimposed. Delineations of flexible and rigid regions of the lid region over the catalytic triad and of the c-terminal Extension are annotated. (b) Root Mean Square Fluctuation (RMSF) and B-factor plots displaying changes in Cα, backbone, side chains, and heavy atoms for each residue. Different colors show different secondary structure elements: α-helices, blue, and β-sheets, pink. (c) Comparative B-factor plot derived from both, a predicted Local Distance Difference Test (pLDDT) Value data (received from the AlphaFold structure) and the MD simulation. The cartoon representation of StmPr1 47 kDa is color-coded to emphasize variations in pLDDT-Values, highlighting confidence in the accuracy of the predicted local structure. Simulations were done with Schoedinger’s Maestro Suite33.
To further investigate the stability of the predicted structure we used MD simulations to simulate over 100 ns with the results presented in Fig. 8. While we found the structure to be reasonably stable (Fig. 8b & c) we also found that the C-terminal extension seems to be highly flexible, moving over a 110° angle (Fig. 8a). However, to confirm such in-silico data more evidence was needed. Hence, we decided to run small angle X-ray scattering (SAXS) experiments with both 36 kDa and 47 kDa protein to gain in-vitro evidence (Fig. 9). For both proteins, the Kratky plot showed a folded globular protein, while also revealing a higher flexibility of the 47 kDa variant with a slight shift to the right (Fig. 9a). The earlier point on which the curves for 47 kDa StmPr1 reach a plateau in the Porod, Porod-Debye, Krakty-Debye, and Sibyls plot further support the flexibility hypothesis of StmPr1s C-terminus region (Fig. 9b - e).
Exploiting the dimensionless Kratky plot and the Porod power-law relation to analyze the StmPr1 conformation in solution. The dimensionless Kratky plot with beat structures aligned to 250 aligned structures from a 100 ns Molecular Dynamics Simulation of StmPr1 36 kDa in green and 47 kDa in red, as well as SAXS data transformed (b) Porod plot (q4 I(q) vs. q), (c) Porod-Debye plot (q4 I(q) vs. q4), (d) Kratky-Debye plot (q2 I(q) vs. q2) and (e) SIBYLS plot (q3 I(q) vs. q3).
Finally, we used the ATSAS software package (version 3.1.3) to calculate the bead structures of both variants and aligned them with the structures received from the MD simulations to obtain the structures presented beside their curves in the Kratky plot (Fig. 9a). Not only did we receive globular structures, but structures also fitted the obtained simulations perfectly depicting the movement of the C-terminus over an approx. 110° angle. The structures predicted by AlphaFold thereby seem to be a good representation of the 47 kDa variant of StmPr1 and its C-terminal extension. Furthermore, this is the comparison of the CD-spectra, while both variants show a similar heat resilience, they also show a particular distinction. The curve for 36 kDa StmPr1 shows a negative peak at 222 nm, indicating a percentual higher count of α-helices in the structure43. This peak disappears in the 47 kDa curve, most likely covered by the stronger signal from the eight additional β-sheets present in 47 kDa StmPr1 (Fig. 5a & b).
The C-terminal extension corresponds to the bacterial pre-peptidase C-terminal domain (PPC, PF04151)44 which is also cataloged under the IPR007280 entry in the InterPro database45. Predominantly present in specific archaeal and bacterial proteases, this domain is typically located at the C-terminus of these enzymes. Its functions span various biological processes, including protein turnover, protein maturation, and stress response, as well as nutrient utilization, particularly in bacterial pathogens. In the latter context, the PPC domain contributes to virulence, underscoring its significance in pathogenic bacterial survival and adaptation.
StmPr1, as the primary virulence factor of Stenotrophomonas maltophilia, most probably has a significant role in nutrient acquisition. The PPC domain has been identified as a key contributor to collagen degradation, functioning as a binding site for collagen. This interaction is crucial for the bacterium’s pathogenicity, as it facilitates the breakdown of extracellular matrix components. This mechanism explains the observed induction of matrilysis and anoikis in human lung epithelial cells, as reported by DuMont & Cianciotto46. These processes are critical in tissue remodeling and bacterial invasion, further highlighting the virulence potential of StmPr147.
When expressed using a plasmid only containing the sequence of 36 kDa StmPr1, missing the PPC region but still containing its N-terminal pro-peptide region, we could observe an interesting phenomenon. As shown in Fig. 6b, when run over an SDS-PAGE the active peak after SEC containing StmPr1 showed two bands. One wider band close to 35 kDa and one smaller closer to 45 kDa. We would expect a band closer to the 45 kDa band of the marker, regarding the self-digestion as shown in Fig. 6a. However, the majority of the protein seemed to run closer to the 35 kDa band. We ran the sample through IEX to separate the bands and the result was an active fraction corresponding to the upper band and a non-active fraction corresponding to the lower band. Performing for both CD measurements we obtained the spectra presented in Fig. 6b, showing that the lower band protein was not correctly folded, resulting in a non-active fraction of the protein.
These results underscore another function of the PPC region, which also acts as an intramolecular chaperon guiding the correct folding of the enzyme48. Considering those functions of the C-terminal extension proposed for StmPr1, a natural occurrence of the self-digestion observed under lab conditions is most probably unlikely. More likely is, that it is an artifact observed under lab conditions, resulting from relatively high protein concentrations, rather than a natural maturation process. Nevertheless, the occurrence of a post-excretion PPC region till now is rarely observed for alkaline serine proteases like StmPr1 or KP-43, another alkaline serine protease identified to have a post-excretion PPC region49.
Conclusion
StmPr1 displays several unique structural and functional elements, distinguishing it from other members of the Subtilase family. Its flexibility and thermostability are significantly affected by specific β-sheet formations and α-helices located at the surface of the protein. Especially the inclusion of β6/β8 and α7, resemble those observed in the cold-active protease Pro21717, suggesting an extended temperature tolerance. This is further supported by its calcium-binding side and disulfide bridges, providing additional stability. Molecular dynamic simulations indicate a substrate trapping and inhibitor protection activity of the described lid region, formed by the loop connecting β1 and α5. StmPr1’s C-terminal extension appears to play a significant role in the protein’s functional resilience and proper folding. The flexibility of the PPC region, indicated by molecular dynamics and further supported by SAXS experiments, indicates a crucial role in its proteolytic activity by facilitating distinct substrate interactions. The PPCs’ relevance for the correct folding of StmPr1 is shown by the presence of misfolded and non-functional protein variants when the C-terminus is absent. These observations and data highlight StmPr1’s evolutionary adaptations and functional advantages within the subtilase family and the relevance of StmPr1 as a potential therapeutic target for the treatment of S. maltophilia infections. In this context our inhibitor studies presented provide interesting candidates for further drug discovery and drug design investigations. Particularly with Bortezomib, we provide an interesting candidate for further investigation regarding a S. maltophilia therapy.
Materials and methods
Molecular cloning, protein expression, and purification
The stmpr1 gene was cloned into a pET17b plasmid by BioCat GmbH, additionally, a sequence of the gene missing the sequence for the C-terminal extension of StmPr1 was cloned in a pET28a plasmid. Both plasmids were induced in chemically competent E. coli BL21 DE3 cells. These cells were grown in LB media containing 50 µg/ml ampicillin at 37 °C until reaching an optical density (OD600) of 1.0. After reaching the right OD600, 1 mM IPTG was added to the cells, which were grown at 20 °C for an additional 48 h. Following the growth period, the cells were separated from the supernatant by centrifugation at 12,000 x g. The supernatant with the excreted 36 kDa and 47 kDa StmPr1 protein was separated from the cell pellet and concentrated via tangential flow filtration. The resulting concentrate was precipitated using 75% w/V ammonium sulfate. The precipitation was centrifuged at 17,000 x g and the resulting pellet resuspended in a buffer comprising 20 mM Tris-HCl, 100 mM NaCl, and adjusted to pH 8.0. The protein solution was dialyzed overnight using the same buffer to get rid of the remaining ammonium sulfate. The following step was size exclusion chromatography. Resulting fractions were assessed for activity using N-Succinyl-Ala-Ala-Pro-Phe-p-nitroanilide as substrate. Active fractions were pooled, dialyzed overnight with a buffer of 20 mM Tris-HCl at pH 8, and further purified using ion exchange chromatography. Peak fractions matching the protein, evaluated via substrate again, were pooled and concentrated to a final concentration of 10 mg/ml using a 30 kDa Amicon concentrator.
Protein crystallization
Crystallization experiments were done with a monodisperse solution of StmPr1 47 kDa, dispersity was analyzed before crystallization experiments using dynamic light scattering. Crystals suitable for X-ray diffraction were obtained by hanging drop vapor diffusion at 20 °C. Therefore, 1 µl of protein solution was mixed with 1 µl of 1.8 M ammonium sulfate, and 0.1 M Tris at pH 8. Crystals used for experiments with inhibitors were prepared using 0.9 M ammonium sulfate, 0.4 M lithium sulfate, and 0.1 M sodium citrate at pH 6. In ligand binding experiments, both co-crystallization and soaking experiments were performed. Different buffers were required for soaking experiments, Bortezomib, Chymostatin, and Leupeptin were solved and soaked using 0.1 ml of 100 mM solution with dimethylsulfide (DMSO). The combinations were set against a 1 ml reservoir solution of identical composition. Crystals were observed after approx. 60 days. Through those 60 days StmPr1 47 kDa digests itself to 36 kDa by cleaving its C-Terminus. Before data collection crystals were cryo-protected with a solution having the conditions where the crystals were grown in, containing an additional 12% glycerol. Crystals were soaked for 1 h in a solution containing 100 mM inhibitor solved in water for PMSF and solved in DMSO for Bortezomib, respectively.
Diffraction data collection and structure determination
Native X-ray diffraction data were collected at 100 K at beamline P13 (PETRA III, DESY)50. Data were afterward processed with the XDS program package (version 2010)51. All Data collection and refinement parameters are summarized in Table 1. To solve the phase problem Subtilisin Carlsberg (PDB ID: 1YU6) was used as a search structure using the Phaser-MR’s one-component interface program embedded within the Phenix software suite (version 1.19.2–4158)52,53. Structure refinement was done with the Phenix.refine tool and REFMAC (version 5.8.0091)53,54,55,56. Structure modeling was done with WinCoot 0.9.8.7.157.
SAXS data collection and analyses
SAXS data were collected at the beamline P12 (PETRA III, DESY) at a temperature of 293.15 K employing the in-batch measurement approach. Starting with a protein concentration of 2 mg/ml for StmPr1 47 kDa and 5 mg/ml for 36 kDa, and systematically serial dilutions were done to achieve concentrations as low as 0.2 mg/ml for 47 kDa and 0.5 mg/ml, using the dialysis buffer as the diluent. The results were subsequently processed and visualized using the BioXTAS RAW software (version 2.3.0), complemented by further analysis with ATSAS GNOM (version 3.1.3)58,59.
Activity assay measurements and analyses
The protease activity of StmPr1 was determined using an adapted protocol established by Windhorst et al.22. Not changing buffer composition, protein concentration was set at 10 nM, and the concentration of the substrate was set at 1.4 mM. Both were added to the preprepared well using the Te-InjectTM-reagent injector of Tecan’s Infinite 200 PRO multimode reader, the protein was incubated for 10 min with the inhibitor before adding the substrate.
Molecular dynamics simulation
For our molecular dynamic simulation studies, the crystallographic structure of StmPr1 36 kDa and the structure predicted by AlphaFold 3 for StmPr1 47 kDa were used. Both structures were meticulously prepared using the protein preparation workflow integrated within Schroedinger’s Maestro suite (version 01–2023)33. Initially, hydrogen atoms were added to ensure the chemical integrity of the structures. The hydrogen-bonding network was refined using PROPKA, using predicted pKa values and the protein’s local environment to optimize H-bond assignments. A subsequently restrained minimization was conducted using the OPLS4 force field, with crystallographic waters beyond the first solvation shell being removed60. The solvated system for the molecular dynamics (MD) simulation was built using the TIP4P water model and enclosed within an orthorhombic periodic boundary box61. A minimum of 20 Å from the protein to the edges of the box was maintained to prevent direct interactions between periodic images. Further, a salt concentration of 150 mM NaCl was used to mimic physiological conditions. Ensuring a constant particle number, a constant pressure of 1.01325 bar, and a constant temperature of 310.15 K the NPT ensemble was kept for the whole integration conducted over a trajectory of 100 ns saving configurations every 20 ps resulting in 250 frames to use in the analysis for each structure62.
CD measurements
StmPr1 solution concentrations for the experiments were between 0.05 and 0.2 mg/ml and measured over a wavelength range of 260 nm to 190 nm. The samples were measured 15 times, the buffer was measured 5 times and respective spectra were merged. The final spectra presented are the results of the buffer spectra being subtracted from the protein spectra. Spectra were measured at 20 °C. For the melting curves, the temperature range was set from 20 °C to 90 °C, rising in 5 °C steps. Each temperature step was measured 3 times and merged. Measurements were done by applying a J-815 CD Spectropolarimeter (Jasco, Tokyo, Japan).
Graphics
Molecular graphics were generated using PyMOL (The PyMOL Molecular Graphics System, Version 2.5, Schrödinger, LLC).
Data availability
All structural data presented in this study is deposited in the Protein Data Bank archive (https://www.rcsb.org/) and is available via accession codes: 9G8V, 9GOI, 9GRG, 9I6C and 9I67. SAXS data presented in this study is deposited in the Small Angle Scattering Biological Data Bank (https://www.sasbdb.org/) and is available via accession codes: SASDXK3 and SASDXK3. Further details are available in the Supplementary. All other data obtained in this study are available from the corresponding authors upon request.
References
Hernando-Amado, S., Coque, T. M., Baquero, F. & Martínez, J. L. Defining and combating antibiotic resistance from one health and global health perspectives. Nat. Microbiol. 4, 1432–1442 (2019).
Murray, C. J. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629–655 (2022).
Theuretzbacher, U. et al. Critical analysis of antibacterial agents in clinical development. Nat. Rev. Microbiol. 18, 286–298 (2020).
Aznar, R., Alcaide, E. & Garay, E. Numerical taxonomy of pseudomonads isolated from water, sediment and Eels. Syst. Appl. Microbiol. 15, 235–246 (1992).
Nakatsu, C. H., Fulthrope, R. R., Holland, B. A., Peel, M. C. & Wyndham, R. C. The phylogenetic distribution of a transposable dioxygenase from the Niagara river watershed. Mol. Ecol. 4, 593–604 (1995).
Berg, G., Roskot, N. & Smalla, K. Genotypic and phenotypic relationships between clinical and environmental isolates of Stenotrophomonas maltophilia. J. Clin. Microbiol. 37, 3594 (1999).
Johnson, E. H., Al-Busaidy, R. & Hameed, M. S. An outbreak of lymphadenitis associated with Stenotrophomonas (Xanthomonas) maltophilia in Omani goats. J. Vet. Med. B Infect. Dis. Vet. Public. Health. 50, 102–104 (2003).
Berg, G. Plant-microbe interactions promoting plant growth and health: perspectives for controlled use of microorganisms in agriculture. Appl. Microbiol. Biotechnol. 84, 11–18 (2009).
Paez, J. I. G. & Costa, S. F. Risk factors associated with mortality of infections caused by Stenotrophomonas maltophilia: a systematic review. J. Hosp. Infect. 70, 101–108 (2008).
Brooke, J. S. Stenotrophomonas maltophilia: an emerging global opportunistic pathogen. Clin. Microbiol. Rev. 25, 2 (2012).
Denton, M. & Kerr, K. G. Microbiological and clinical aspects of infection associated with Stenotrophomonas maltophilia. Clin. Microbiol. Rev. 11, 57 (1998).
Chang, Y. T., Lin, C. Y., Chen, Y. H. & Hsueh, P. R. Update on infections caused by Stenotrophomonas maltophilia with particular attention to resistance mechanisms and therapeutic options. Front. Microbiol. 6 (2015).
Wang, L. et al. Molecular epidemiology, genetic diversity, antibiotic resistance and pathogenicity of Stenotrophomonas maltophilia complex from bacteremia patients in a tertiary hospital in China for nine years. Front. Microbiol. 15, 1424241 (2024).
Cai, B., Tillotson, G., Benjumea, D., Callahan, P. & Echols, R. The burden of bloodstream infections due to Stenotrophomonas maltophilia in the united states: A large, retrospective database study. Open Forum Infect. Dis 7 (2020).
Cuthbertson, L. et al. Lung function and microbiota diversity in cystic fibrosis. Microbiome 8 (2020).
Langford, B. J. et al. Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis. Lancet Microbe. 4, e179 (2023).
Ishikawa, K., Nakamura, T., Kawai, F., Uehara, Y. & Mori, N. Stenotrophomonas maltophilia infection associated with COVID-19: A case series and literature review. Am. J. Case Rep. 23, e936889–e936881 (2022).
Yang, S. et al. Bacterial and fungal co-infections among COVID-19 patients in intensive care unit. Microbes Infect. 23, 104806 (2021).
Coutinho, H. D. M., Falcão-Silva, V. S. & Gonçalves, G. F. Pulmonary bacterial pathogens in cystic fibrosis patients and antibiotic therapy: a tool for the health workers. Int. Arch. Med. 1, 24 (2008).
Goss, C. H., Mayer-Hamblett, N., Aitken, M. L., Rubenfeld, G. D. & Ramsey, B. W. Association between Stenotrophomonas maltophilia and lung function in cystic fibrosis. Thorax 59, 955 (2004).
Trifonova, A. & Strateva, T. Stenotrophomonas maltophilia - a low-grade pathogen with numerous virulence factors. Infect. Dis. (Lond). 51, 168–178 (2019).
Windhorst, S. et al. The major extracellular protease of the nosocomial pathogen Stenotrophomonas maltophilia: characterization of the protein and molecular cloning of the gene. J. Biol. Chem. 277, 11042–11049 (2002).
Scott, K., Hayden, P. J., Will, A. & Wheatley, K. & Coyne, I. Bortezomib for the treatment of multiple myeloma. Cochrane Database Syst Rev (2016). (2016).
Wright, C. S., Alden, R. A. & Kraut, J. Structure of subtilisin BPN’ at 2.5 Angström resolution. Nature 221, 235–242 (1969).
Chothia, C. Principles that determine the structure of proteins. Annu. Rev. Biochem. 53, 537–572 (1984).
Betzel, C., Pal, G. P. & Saenger, W. Synchrotron X-ray data collection and restrained least-squares refinement of the crystal structure of proteinase K at 1.5 A resolution. Acta Crystallogr. B. 44 (Pt 2), 163–172 (1988).
Teplyakov, A. V. et al. Crystal structure of thermitase at 1.4A˚resolution. J. Mol. Biol. 214, 261–279 (1990).
Neidhart, D. J. & Petsko, G. A. The refined crystal structure of subtilisin Carlsberg at 2.5 A resolution. Protein Eng. 2, 271–276 (1988).
Park, H. J. et al. Crystal structure of a cold-active protease (Pro21717) from the psychrophilic bacterium, Pseudoalteromonas arctica PAMC 21717, at 1.4 Å resolution: structural adaptations to cold and functional analysis of a laundry detergent enzyme. PLoS One 13 (2018).
Kumar, S. & Tsai, C. J. Factors enhancing protein thermostability and starch processing, production of high Fructose corn syrup. Protein Eng. 13 (2000).
Vieille, C., Zeikus, G. J. & Hyperthermophilic Enzymes Sources, uses, and molecular mechanisms for thermostability. Microbiol. Mol. Biol. Rev. 65, 1–43 (2001).
Richardson, R., Voordouw, G., Milo, C. & Roche, R. S. Role of Bound Calcium Ions in Thermostable, Proteolytic Enzymes. Separation of Intrinsic and Calcium Ion Contributions to the Kinetic Stability1. Proc. Natl. Acad. Sci. U.S.A 34 (1975).
Madhavi Sastry, G., Adzhigirey, M., Day, T., Annabhimoju, R. & Sherman, W. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. J. Comput. Aided Mol. Des. 27, 221–234 (2013).
Illy, C. et al. Role of the Occluding Loop in Cathepsin B Activity (1997).
Huang, A., Lu, F. & Liu, F. Exploring the molecular mechanism of cold-adaption of an alkaline protease mutant by molecular dynamics simulations and residue interaction network. Protein Sci. 32, e4837 (2023).
Siezen, R. J. & Leunissen, J. A. M. Subtilases: the superfamily of subtilisin-like Serine proteases. Protein Sci. 6, 501–523 (1997).
Robert, X. & Gouet, P. Deciphering key features in protein structures with the new endscript server. Nucleic Acids Res 42 (2014).
Holm, L., Laiho, A., Törönen, P. & Salgado, M. DALI shines a light on remote homologs: one hundred discoveries. Protein Sci 32 (2023).
Lilley, G. G., Stewart, D. J. & Kortt, A. A. Amino acid and DNA sequences of an extracellular basic protease of Dichelobacter nodosus show that it is a member of the subtilisin family of proteases. Eur. J. Biochem. 210, 13–21 (1992).
Jumper, J. et al. Highly accurate protein structure prediction with alphafold. Nature 596, 583 (2021).
Efraimidis, E., Krokidis, M. G., Exarchos, T. P., Lazar, T. & Vlamos, P. In Silico structural analysis exploring conformational folding of protein variants in alzheimer’s disease. Int J. Mol. Sci 24 (2023).
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with alphafold 3. Nature 630, 493–500 (2024).
Greenfield, N. J. Circular dichroism analysis for Protein-Protein interactions. Methods Mol. Biol. 261, 55–77 (2004).
Yeats, C., Bentley, S. & Bateman, A. New knowledge from old: in Silico discovery of novel protein domains in Streptomyces Coelicolor. BMC Microbiol. 3, 3 (2003).
Blum, M. et al. InterPro: the protein sequence classification resource in 2025. Nucleic Acids Res (2024).
Dumont, A. L. & Cianciotto, N. P. Stenotrophomonas maltophilia Serine protease StmPr1 induces matrilysis, anoikis, and protease-Activated receptor 2 activation in human lung epithelial cells. Infect. Immun. 85, 1–21 (2017).
Jeffrey, J. W. & Matsushita, O. Joshua sakon. A bacterial collagen-binding domain with novel calcium-binding motif controls domain orientation. EMBO J. 22, 1743–1752 (2003).
Subbian, E., Williamson, D. M. & Shinde, U. Protein folding mediated by an intramolecular chaperone: energy landscape for unimolecular Pro-Subtilisin E maturation. Adv. Biosci. Biotechnol. 06, 73–88 (2015).
Nonaka, T. et al. The crystal structure of an oxidatively stable subtilisin-like alkaline Serine protease, KP-43, with a C-terminal β-barrel domain. J. Biol. Chem. 279, 47344–47351 (2004).
Cianci, M. et al. P13, the EMBL macromolecular crystallography beamline at the low-emittance PETRA III ring for high-and low-energy phasing with variable beam focusing. 24, 323–332 (2017).
Kabsch, W. X. D. S. Acta Crystallogr. D Biol. Crystallogr. 66, 125 (2010).
McCoy, A. J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658 (2007).
Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in phenix. Acta Crystallogr. D Struct. Biol. 75, 861 (2019).
Afonine, P. V. et al. Towards automated crystallographic structure refinement with phenix.refine. Acta Crystallogr. D Biol. Crystallogr. 68, 352 (2012).
Murshudov, G. N. et al. REFMAC 5 for the refinement of macromolecular crystal structures. Acta Crystallogr. D Biol. Crystallogr. 67, 355–367 (2011).
Murshudov, G. N., Vagin, A. A. & Dodson, E. J. Refinement of macromolecular structures by the Maximum-Likelihood method. Acta Crystallogr. D Biol. Crystallogr. 53, 240–255 (1997).
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486 (2010).
Svergun, D. I. Determination of the regnlarization parameter in Indirect-Transform methods using perceptual criteria. J. Appl. Cryst. 25, 495–503 (1992).
Hopkins, J. B., Gillilan, R. E., Skou, S. & BioXTAS, R. A. W. Improvements to a free open-source program for small-angle X-ray scattering data reduction and analysis. J. Appl. Crystallogr. 50, 1545–1553 (2017).
Lu, C. et al. OPLS4: improving force field accuracy on challenging regimes of chemical space. J. Chem. Theory Comput. 17, 4291–4300 (2021).
Abascal, J. L. F. & Vega, C. A general purpose model for the condensed phases of water: TIP4P/2005. J Chem. Phys 123 (2005).
Bowers, K. J. et al. Scalable algorithms for molecular dynamics simulations on commodity clusters. 43–43 (2007).
Acknowledgements
We sincerely thank the staff of beamlines at DESY, Hamburg, Germany for support during data collection. We acknowledge financial support from the Cluster of Excellence ‘Advanced Imaging of Matter’ of the Deutsche Forschungsgemeinschaft (DFG) - EXC 2056 - project ID 390715994, and BMBF via projects 05K19GU4 and 05K20GUB.
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Max Sommer: Wrote the article, prepared the figures and tables and measured the native StmPr1 data, as well as performed the CD, SAXS, activity assays and in-silico experiments. Lasse Outzen: Measured the structural data for the inhibitors PMSF and Bortezomib and prepared the digestion study of StmPr1 47 kDa. Amr Negm: Established the crystallization conditions and measured the structural data for the inhibitors Leupeptin and Chymostatin and contributed to manuscript preparation. Sabine Windhorst: Established the expression protocol for the protein. Azat Gabdulkhakov: Supported and analyzed Molecular dynamics calculations and refinement. Wolfgang Weber: Discovered originally the StmPr1 protease secreted by S. maltophilia and provided valuable feedback on the study’s broader implications. Christian Betzel: Provided advisory support and general guidance throughout the research process. As well as, contributed to discussions, contributed to manuscript preparation and provided institutional support.
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Sommer, M., Negm, A., Outzen, L. et al. Unveiling the structure, function and dynamics of StmPr1 in Stenotrophomonas maltophilia virulence. Sci Rep 15, 20193 (2025). https://doi.org/10.1038/s41598-025-06177-5
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DOI: https://doi.org/10.1038/s41598-025-06177-5