Tyzack, JD;
Furnham, N;
Sillitoe, I;
Orengo, CM;
Thornton, JM;
(2017)
Understanding enzyme function evolution from a computational perspective.
Curr Opin Struct Biol
, 47
pp. 131-139.
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.
| Type: | Article |
|---|---|
| Title: | Understanding enzyme function evolution from a computational perspective. |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.sbi.2017.08.003 |
| Publisher version: | https://doi.org/10.1016/j.sbi.2017.08.003 |
| Language: | English |
| Additional information: | /ã 2017 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/ by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10025840 |
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