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Serine proteases have been proposed to dynamically sample inactive and active conformations, but direct evidence at atomic resolution has remained elusive. Using nuclear magnetic resonance (NMR), we identified a single residue, D164, in exfoliative toxin A (ETA) that acts as a molecular “switch” to regulate global dynamic sampling. Mutations at this site shift the balance between inactive and active states, correlating directly with catalytic activity. Beyond identifying this dynamic switch, we demonstrate how it works in concert with other allosterically coupled sites to rationally control enzyme movements and catalytic function. This study provides a framework for linking conformational dynamics to function and paves the way for engineering enzymes, in particular, proteases, with tailored activities for applications in medicine and biotechnology.
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This content will become publicly available on February 14, 2026
Conformational ensembles reveal the origins of serine protease catalysis
Enzymes exist in ensembles of states that encode the energetics underlying their catalysis. Conformational ensembles built from 1231 structures of 17 serine proteases revealed atomic-level changes across their reaction states. By comparing the enzymatic and solution reaction, we identified molecular features that provide catalysis and quantified their energetic contributions to catalysis. Serine proteases precisely position their reactants in destabilized conformers, creating a downhill energetic gradient that selectively favors the motions required for reaction while limiting off-pathway conformational states. The same catalytic features have repeatedly evolved in proteases and additional enzymes across multiple distinct structural folds. Our ensemble-function analyses revealed previously unknown catalytic features, provided quantitative models based on simple physical and chemical principles, and identified motifs recurrent in nature that may inspire enzyme design.
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- Award ID(s):
- 2322069
- PAR ID:
- 10616211
- Publisher / Repository:
- Science
- Date Published:
- Journal Name:
- Science
- Volume:
- 387
- Issue:
- 6735
- ISSN:
- 0036-8075
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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