Prediction of New Stabilizing Mutations Based on Mechanistic Insights from Markov State Models. Author Maxwell Zimmerman, Kathryn Hart, Carrie Sibbald, Thomas Frederick, John Jimah, Catherine Knoverek, Niraj Tolia, Gregory Bowman Publication Year 2017 Type Journal Article Abstract Protein stabilization is fundamental to enzyme function and evolution, yet understanding the determinants of a protein's stability remains a challenge. This is largely due to a shortage of atomically detailed models for the ensemble of relevant protein conformations and their relative populations. For example, the M182T substitution in TEM β-lactamase, an enzyme that confers antibiotic resistance to bacteria, is stabilizing but the precise mechanism remains unclear. Here, we employ Markov state models (MSMs) to uncover how M182T shifts the distribution of different structures that TEM adopts. We find that M182T stabilizes a helix that is a key component of a domain interface. We then predict the effects of other mutations, including a novel stabilizing mutation, and experimentally test our predictions using a combination of stability measurements, crystallography, NMR, and measurements of bacterial fitness. We expect our insights and methodology to provide a valuable foundation for protein design. Journal ACS Cent Sci Volume 3 Issue 12 Pages 1311-1321 Date Published 2017 Dec 27 ISSN Number 2374-7943 DOI 10.1021/acscentsci.7b00465 Alternate Journal ACS Cent Sci PMCID PMC5746865 PMID 29296672 PubMedPubMed CentralGoogle ScholarBibTeXEndNote X3 XML