Abstract
Highly-charged intrinsically disordered proteins (IDPs) underpin biomolecular condensate formation through liquid–liquid phase separation, yet the influence of charge sequences on the dynamics within the condensate phase remains poorly understood. Using extensive molecular dynamics simulations with explicit hydrodynamics and electrostatics, we study the dynamics in IDP condensates across different length and time scales, by systematically varying the charge sequences of the constituent IDPs. Contrary to the expectation that long-range interactions are heavily screened in dense semidilute polymer solutions, we find hydrodynamics and electrostatics significantly influence the dynamics in IDP condensates and their effects are strongly coupled to the charge sequence of the constituent IDPs. For condensates of low to intermediate-κ IDPs, where κ is a measure of the charge blockiness of the charge sequence, we find hydrodynamics dominates the dynamics up to the length scale of the chain and beyond. On the sub-chain level, segmental relaxation is highly coupled to intra-chain electrostatic correlations due to local charge patterns, where sections with more charge-balanced blocks have faster relaxation. Furthermore, the viscosity in IDP condensates is significantly length-scale-dependent, with condensates of high-κ IDPs exhibiting large difference between microscopic and macroscopic viscosity. Such length-scale-dependent viscosity may be the key to understanding the experimentally observed extremely fast molecule-level dynamics in biocondensates of highly-charged IDPs. Our findings highlight the intricate relationship between charge sequences, hydrodynamics, and electrostatics in shaping the dynamics in IDP condensates at different length and time scales.
Similar content being viewed by others
Data availability
All data are included in the article and/or in the Supplementary Information. Two binary files representing initial and final configurations of the simulation trajectories are uploaded in Figshare repository (https://doi.org/10.6084/m9.figshare.30653600). Other source data and codes are available from the corresponding author upon request.
References
Bondos, S. E., Dunker, A. K. & Uversky, V. N. On the roles of intrinsically disordered proteins and regions in cell communication and signaling. Cell Commun. Signal. 19, 88 (2021).
Zhou, J., Zhao, S. & Dunker, A. K. Intrinsically disordered proteins link alternative splicing and post-translational modifications to complex cell signaling and regulation. Biophys. J. 114, 79a (2018).
Babu, M. M., van der Lee, R., de Groot, N. S. & Gsponer, J. Intrinsically disordered proteins: regulation and disease. Curr. Opin. Struct. Biol. 21, 432–440 (2011).
Dunker, A. K., Bondos, S. E., Huang, F. & Oldfield, C. J. Intrinsically disordered proteins and multicellular organisms. Semin. Cell Dev. Biol. 37, 44–55 (2015).
Uversky, V. N. A decade and a half of protein intrinsic disorder: biology still waits for physics. Protein Sci. 22, 693–724 (2013).
Shin, Y. & Brangwynne, C. P. Liquid phase condensation in cell physiology and disease. Science 357, eaaf4382 (2017).
Salman, F. B. et al. Compositional control of phase-separated cellular bodies. Cell 166, 651–663 (2016).
Nott, T. J. et al. Phase transition of a disordered nuage protein generates environmentally responsive membraneless organelles. Mol. Cell 57, 936–947 (2015).
Boyko, S. & Surewicz, W. K. Tau liquid - liquid phase separation in neurodegenerative diseases. Trends Cell Biol. 32, 611–623 (2022).
Murthy, A. C. et al. Molecular interactions underlying liquid-liquid phase separation of the fus low-complexity domain. Nat. Struct. Mol. Biol. 26, 637–648 (2019).
Hofweber, M. et al. Phase separation of Fus is suppressed by its nuclear import receptor and arginine methylation. Cell 173, 706–719.e13 (2018).
Alberti, S., Gladfelter, A. & Mittag, T. Biomolecular condensates: organizers of cellular biochemistry. Nat. Rev. Mol. Cell Biol. 20, 287–305 (2019).
Uversky, V. N. Intrinsically disordered proteins and their “mysterious” (meta) physics. Front. Phys. 7, 10 (2019).
Das, R. K. & Pappu, R. V. Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues. Proc. Natl. Acad. Sci. USA 110, 13392–13397 (2013).
Devarajan, D. S. et al. Effect of charge distribution on the dynamics of polyampholytic disordered proteins. Macromolecules 55, 8987–8997 (2022).
Martin, E. W. et al. Valence and patterning of aromatic residues determine the phase behavior of prion-like domains. Science 367, 694–699 (2020).
Madinya, J. J., Chang, L.-W., Perry, S. L. & Sing, C. E. Sequence-dependent self-coacervation in high charge-density polyampholytes. Mol. Syst. Des. Eng. 5, 632–644 (2020).
Sawle, L. & Ghosh, K. A theoretical method to compute sequence-dependent configurational properties in charged polymers and proteins. J. Chem. Phys. 143, 085101 (2015).
McCarty, J., Delaney, K. T., Danielsen, S. P. O., Fredrickson, G. H. & Shea, J.-E. Complete phase diagram for liquid-liquid phase separation of intrinsically disordered proteins. J. Phys. Chem. Lett. 10, 1644–1652 (2019).
Hazra, M. K. & Levy, Y. Charge pattern affects the structure and dynamics of polyampholyte condensates. Phys. Chem. Chem. Phys. 22, 19368–19375 (2020).
Jacobs, W. M. Theory and simulation of multiphase coexistence in biomolecular mixtures. J. Chem. Theory Comput. 19, 3429–3445 (2023).
Li, L. et al. Effect of solvent quality on the phase behavior of polyelectrolyte complexes. Macromolecules 54, 105–114 (2021).
Ramírez Marrero, I. A. et al. Decoupling the effects of charge density and hydrophobicity on the phase behavior and viscoelasticity of complex coacervates. Macromolecules 57, 4680–4694 (2024).
Sathyavageeswaran, A., Bonesso Sabadini, J. & Perry, S. L. Self-assembling polypeptides in complex coacervation. Accounts Chem. Res. 57, 386–398 (2024).
Conicella, A. E. et al. Tdp-43 α-helical structure tunes liquid-liquid phase separation and function. Proc. Natl. Acad. Sci. USA 117, 5883–5894 (2020).
Jawerth, L. et al. Protein condensates as aging Maxwell fluids. Science 370, 1317–1323 (2020).
Alshareedah, I., Moosa, M. M., Pham, M., Potoyan, D. A. & Banerjee, P. R. Programmable viscoelasticity in protein-RNA condensates with disordered sticker-spacer polypeptides. Nat. Commun. 12, 6620 (2021).
Rumyantsev, A. M. & Johner, A. Salt-added solutions of Markov polyampholytes: diagram of states, antipolyelectrolyte effect, and self-coacervate dynamics. Macromolecules 56, 5201–5216 (2023).
Galvanetto, N. et al. Extreme dynamics in a biomolecular condensate. Nature 619, 876–883 (2023).
Zheng, W. et al. Molecular details of protein condensates probed by microsecond-long atomistic simulations. J. Phys. Chem. B 124, 11671–11679 (2020).
Chang, R. et al. Intrinsically disordered protein condensate-modified surface for mitigation of biofouling and foreign body response. J. Am. Chem. Soc. 144, 12147–12157 (2022).
Zhang, G. & Chu, X. Balancing thermodynamic stability, dynamics, and kinetics in phase separation of intrinsically disordered proteins. J. Chem. Phys. 161, 095102 (2024).
Tan, C., Niitsu, A. & Sugita, Y. Highly charged proteins and their repulsive interactions antagonize biomolecular condensation. JACS Au 3, 834–848 (2023).
Sundaravadivelu Devarajan, D. et al. Sequence-dependent material properties of biomolecular condensates and their relation to dilute phase conformations. Nat. Commun. 15, 1912 (2024).
Murthy, A. C. & Fawzi, N. L. The (un) structural biology of biomolecular liquid-liquid phase separation using nmr spectroscopy. J. Biol. Chem. 295, 2375–2384 (2020).
Ahmed, R. & Forman-Kay, J. D. NMR insights into dynamic, multivalent interactions of intrinsically disordered regions: from discrete complexes to condensates. Essays Biochem. 66, 863–873 (2022).
Español, P. & Warren, P. Statistical mechanics of dissipative particle dynamics. Europhys. Lett. 30, 191–196 (1995).
Ripoll, M., Ernst, M. H. & Español, P. Large scale and mesoscopic hydrodynamics for dissipative particle dynamics. J. Chem. Phys. 115, 7271–7284 (2001).
Español, P. & Warren, P. B. Perspective: dissipative particle dynamics. J. Chem. Phys. 146, 150901 (2017).
Doi, M., Edwards, S. F. & Edwards, S. F. The theory of polymer dynamics. Curr. Opinion Solid State Mater. Sci. 1, 812–816 (1988).
Rubinstein, M. & Colby, R. H. Polymer Physics (Oxford University Press, 2003).
Hu, X. et al. Recent advances in short peptide self-assembly: from rational design to novel applications. Curr. Opin. Colloid Interface Sci. 45, 1–13 (2020).
Abbas, M., Lipiński, W. P., Wang, J. & Spruijt, E. Peptide-based coacervates as biomimetic protocells. Chem. Soc. Rev. 50, 3690–3705 (2021).
Rumyantsev, A. M., Jackson, N. E., Johner, A. & de Pablo, J. J. Scaling theory of neutral sequence-specific polyampholytes. Macromolecules 54, 3232–3246 (2021).
Dobrynin, A. V., Colby, R. H. & Rubinstein, M. Polyampholytes. J. Polym. Sci. Part B Polym. Phys. 42, 3513–3538 (2004).
Rumyantsev, A. M. & Johner, A. Electrostatically stabilized microstructures: from clusters to necklaces to bulk microphases. ACS Macro Lett. 14, 472–483 (2025).
Shen, K. & Wang, Z.-G. Electrostatic correlations and the polyelectrolyte self energy. J. Chem. Phys. 146, 084901 (2017).
Palmer, B. J. Transverse-current autocorrelation-function calculations of the shear viscosity for molecular liquids. Phys. Rev. E 49, 359 (1994).
Hu, Z. & Margulis, C. J. On the response of an ionic liquid to external perturbations and the calculation of shear viscosity. J. Phys. Chem. B 111, 4705–4714 (2007).
Feng, Y., Goree, J. & Liu, B. Viscoelasticity of 2d liquids quantified in a dusty plasma experiment. Phys. Rev. Lett. 105, 025002 (2010).
Fang, Y. N. et al. Scattering evidence of positional charge correlations in polyelectrolyte complexes. Proc. Natl. Acad. Sci. USA 120, e2302151120 (2023).
Rubinstein, M., Colby, R. H. & Dobrynin, A. V. Dynamics of semidilute polyelectrolyte solutions. Phys. Rev. Lett. 73, 2776–2779 (1994).
Ye, B. B., Chen, S. & Wang, Z.-G. Gcme: efficient implementation of the Gaussian core model with smeared electrostatic interactions for molecular dynamics simulations of soft matter systems. J. Chem. Theory Comput. 20, 6870–6880 (2024).
Chen, S. & Wang, Z.-G. Hydrodynamics in semidilute polyelectrolyte solutions and complex coacervates. J. Chem. Phys. 163, 171101 (2025).
Groot, R. D. & Warren, P. B. Dissipative particle dynamics: bridging the gap between atomistic and mesoscopic simulation. J. Chem. Phys. 107, 4423–4435 (1997).
Liu, M., Liu, G., Zhou, L. & Chang, J. Dissipative particle dynamics (dpd): an overview and recent developments. Arch. Comput. Methods Eng. 22, 529–556 (2015).
Soddemann, T., Dünweg, B. & Kremer, K. Dissipative particle dynamics: a useful thermostat for equilibrium and nonequilibrium molecular dynamics simulations. Phys. Rev. E 68, 046702 (2003).
Yu, B. et al. Structure and dynamics of hybrid colloid–polyelectrolyte coacervates: Insights from molecular simulations. Macromolecules 56, 7256–7270 (2023).
Sharon, D. et al. Critical percolation threshold for solvation-site connectivity in polymer electrolyte mixtures. Macromolecules 55, 7212–7221 (2022).
Liang, H. & de Pablo, J. J. A coarse-grained molecular dynamics study of strongly charged polyelectrolyte coacervates: interfacial, structural, and dynamical properties. Macromolecules 55, 4146–4158 (2022).
Thompson, A. P. et al. LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Comput. Phys. Commun. 271, 108171 (2022).
Acknowledgements
We thank the generous allocation of computational time from the HPC4 cluster in the Information Technology Services Center (ITSC) of HKUST. Funding: H. Zhou, Z. Wu and S. Chen thank the start-up funding from The Hong Kong University of Science and Technology (HKUST).
Author information
Authors and Affiliations
Contributions
Haoke Zhou: Methodology, Software, Investigation, Visualization, Writing—original draft. Zongpei Wu: Software. Lingxiang Jiang: Suggestion. Zhen-Gang Wang: Supervision, Writing— review and editing. Shensheng Chen: Conceptualization, Visualization, Supervision, Writing— review and editing, Funding acquisition.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Communications Chemistry thanks Artem Rumyantsev and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Zhou, H., Wu, Z., Jiang, L. et al. Sequence and length-scale dependent dynamics in biocondensates of highly charged disordered proteins. Commun Chem (2026). https://doi.org/10.1038/s42004-026-01903-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s42004-026-01903-0


