Understanding enzyme function evolution from a computational perspective.


Tyzack, JD; Furnham, N; Sillitoe, I; Orengo, CM; Thornton, JM; (2017) Understanding enzyme function evolution from a computational perspective. Current opinion in structural biology, 47. pp. 131-139. ISSN 0959-440X DOI: https://doi.org/10.1016/j.sbi.2017.08.003

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Abstract

In this review, we will explore recent computational approaches to understand enzyme evolution from the perspective of protein structure, dynamics and promiscuity. We will present quantitative methods to measure the size of evolutionary steps within a structural domain, allowing the correlation between change in substrate and domain structure to be assessed, and giving insights into the evolvability of different domains in terms of the number, types and sizes of evolutionary steps observed. These approaches will help to understand the evolution of new catalytic and non-catalytic functionality in response to environmental demands, showing potential to guide de novoenzyme design and directed evolution experiments.

Item Type: Article
Faculty and Department: Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology
PubMed ID: 28892668
Web of Science ID: 419413700018
URI: http://researchonline.lshtm.ac.uk/id/eprint/4363533

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