FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants
Authors:
- David Bednar,
- Koen Beerens,
- Eva Sebestova,
- Jaroslav Bendl,
- Sagar Khare,
- Radka Chaloupkova,
- Zbynek Prokop,
- Jan Brezovsky,
- David Baker,
- Jiri Damborsky
Abstract
There is great interest in increasing proteins’ stability to enhance their utility as biocatalysts, therapeutics, diagnostics and nanomaterials. Directed evolution is a powerful, but experimentally strenuous approach. Computational methods offer attractive alternatives. However, due to the limited reliability of predictions and potentially antagonistic effects of substitutions, only single-point mutations are usually predicted in silico, experimentally verified and then recombined in multiple-point mutants. Thus, substantial screening is still required. Here we present FireProt, a robust computational strategy for predicting highly stable multiple-point mutants that combines energy- and evolution-based approaches with smart filtering to identify additive stabilizing mutations. FireProt’s reliability and applicability was demonstrated by validating its predictions against 656 mutations from the ProTherm database. We demonstrate that thermostability of the model enzymes haloalkane dehalogenase DhaA and γ-hexachlorocyclohexane dehydrochlorinase LinA can be substantially increased (ΔTm = 24°C and 21°C) by constructing and characterizing only a handful of multiple-point mutants. FireProt can be applied to any protein for which a tertiary structure and homologous sequences are available, and will facilitate the rapid development of robust proteins for biomedical and biotechnological applications.
- Record ID
- UAM2831a4c1c3834e5eb199651b0b393f1e
- Author
- Journal series
- PLoS Computational Biology, ISSN 1553-7358, [1553-734X]
- Issue year
- 2015
- Vol
- 11
- Pages
- 1-20
- ASJC Classification
- ; ; ; ; ; ;
- DOI
- DOI:10.1371/journal.pcbi.1004556 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 45
- Score source
- journalList
- Score
- Publication indicators
- = 71; = 75; : 2015 = 1.439; : 2013 (2 years) = 4.829 - 2013 (5 years) =5.670
- Citation count
- 107
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM2831a4c1c3834e5eb199651b0b393f1e/
- URN
urn:amu-prod:UAM2831a4c1c3834e5eb199651b0b393f1e
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.