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Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico

The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study ch...

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Detalles Bibliográficos
Autores principales: Broom, Aron, Rakotoharisoa, Rojo V., Thompson, Michael C., Zarifi, Niayesh, Nguyen, Erin, Mukhametzhanov, Nurzhan, Liu, Lin, Fraser, James S., Chica, Roberto A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511930/
https://www.ncbi.nlm.nih.gov/pubmed/32968058
http://dx.doi.org/10.1038/s41467-020-18619-x
Descripción
Sumario:The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (k(cat)/K(M) 146 M(−1)s(−1)). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (k(cat)/K(M) 103,000 M(−1)s(−1)) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data.