Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness

Jordan Yang; Brenda M Rubenstein; Nandita Naik; Jagdish Suresh Patel; Christopher S Wylie; Wenze Gu; Jessie Huang; Marty Ytreberg; Mandar T Naik; Daniel M Weinreich

doi:10.1371/journal.pone.0233509

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Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness

Journal article

Peer reviewed

Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness

Jordan Yang, Brenda M Rubenstein, Nandita Naik, Jagdish Suresh Patel, Christopher S Wylie, Wenze Gu, Jessie Huang, Marty Ytreberg, Mandar T Naik and Daniel M Weinreich

PLOS One, Vol.15(5), p.e0233509

2020

DOI: https://doi.org/10.1371/journal.pone.0233509

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Title: Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness
Creators: Jordan Yang - Brown University
Brenda M Rubenstein - Brown University
Nandita Naik - Brown University
Jagdish Suresh Patel - University of Idaho
Christopher S Wylie - Brown University
Wenze Gu - Brown University
Jessie Huang - Wellesley College
Marty Ytreberg
Mandar T Naik - Brown University
Daniel M Weinreich - Brown University
Publication Details: PLOS One, Vol.15(5), p.e0233509
Identifiers: 996631605301851
Academic Unit: Institute for Health in the Human Ecosystem; Initiative for Bioinformatics and Evolutionary Studies; Biological Sciences; Institute for Modeling Collaboration and Innovation; Physics
Language: English
Resource Type: Journal article