Fig. 2: Antimicrobial activity and secondary structure profiles of antibiotics from the archaeome.
From: Deep learning reveals antibiotics in the archaeal proteome
a, Heat map showing the antimicrobial activities (μmol l−1) of active antimicrobial agents from archaea against 11 clinically relevant pathogens, including Gram-negative (indicated by –) and Gram-positive (indicated by +) antibiotic-resistant strains (CRE, colistin-resistant Escherichia coli; MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant Enterococci). Briefly, 105 bacterial cells were incubated with serially diluted EPs (0–64 μmol l−1) at 37 °C. Bacterial growth was assessed by measuring the optical density at 600 nm in a microplate reader at 1 day post-treatment. The MIC values presented in the heat map represent the mode of the replicates for each condition, and the antibiotics polymyxin B and levofloxacin were used as positive controls (Extended Data Fig. 4a). b−d, Ternary plots showing the percentage of secondary structure for each peptide (at 50 μmol l−1) in 3 different solvents: water (b), 60% TFE in water (c), and SDS (10 mmol l−1) in water (d). Secondary structure fractions were calculated using the BeStSel server18. fH and fβ stand for helical and β fractions, respectively. Red dots indicate active archaeasins and blue dots represent inactive peptides (Extended Data Fig. 5).
