Computational tools for designing and engineering enzymes
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
24780274
DOI
10.1016/j.cbpa.2013.12.003
PII: S1367-5931(13)00235-4
Knihovny.cz E-resources
- MeSH
- Enzymes genetics MeSH
- Humans MeSH
- Models, Molecular MeSH
- Mutation MeSH
- Protein Engineering methods MeSH
- Enzyme Stability MeSH
- Computational Biology methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Names of Substances
- Enzymes MeSH
Protein engineering strategies aimed at constructing enzymes with novel or improved activities, specificities, and stabilities greatly benefit from in silico methods. Computational methods can be principally grouped into three main categories: bioinformatics; molecular modelling; and de novo design. Particularly de novo protein design is experiencing rapid development, resulting in more robust and reliable predictions. A recent trend in the field is to combine several computational approaches in an interactive manner and to complement them with structural analysis and directed evolution. A detailed investigation of designed catalysts provides valuable information on the structural basis of molecular recognition, biochemical catalysis, and natural protein evolution.
References provided by Crossref.org
FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants
Dynamics and hydration explain failed functional transformation in dehalogenase design