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Pervasive cooperative mutational effects on multiple catalytic enzyme traits emerge via long-range conformational dynamics

Authors :
Sabrina Hoebenreich
Marc Garcia-Borràs
Lorenzo D’Amore
Sílvia Osuna
Paul Lubrano
Aitao Li
Matteo P. Ferla
Carlos G. Acevedo-Rocha
Joaquin Sanchis
Manfred T. Reetz
Agencia Estatal de Investigación
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021), Nature Communications, 2021, vol. 12, art.núm.1621, Articles publicats (D-Q), DUGiDocs – Universitat de Girona, instname, Nature Communications, bioRxiv
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Multidimensional fitness landscapes provide insights into the molecular basis of laboratory and natural evolution. To date, such efforts usually focus on limited protein families and a single enzyme trait, with little concern about the relationship between protein epistasis and conformational dynamics. Here, we report a multiparametric fitness landscape for a cytochrome P450 monooxygenase that was engineered for the regio- and stereoselective hydroxylation of a steroid. We develop a computational program to automatically quantify non-additive effects among all possible mutational pathways, finding pervasive cooperative signs and magnitude epistasis on multiple catalytic traits. By using quantum mechanics and molecular dynamics simulations, we show that these effects are modulated by long-range interactions in loops, helices and β-strands that gate the substrate access channel allowing for optimal catalysis. Our work highlights the importance of conformational dynamics on epistasis in an enzyme involved in secondary metabolism and offers insights for engineering P450s.<br />Connecting conformational dynamics and epistasis has so far been limited to a few proteins and a single fitness trait. Here, the authors provide evidence of positive epistasis on multiple catalytic traits in the evolution and dynamics of engineered cytochrome P450 monooxygenase, offering insights for in silico protein design.

Details

ISSN :
20411723
Volume :
12
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....d2950bc9ced490ebfbfbf97c9bd5eb14