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Detalle de: SelenzymeRF: updated enzyme suggestion software for unbalanced biochemical reactions

Title SelenzymeRF: updated enzyme suggestion software for unbalanced biochemical reactions
Abstract

Selenzyme is a retrobiosynthesis tool that suggests candidate enzymes for user query reactions. Enzyme suggestions are based on identical reactions, as well as similar reactions, since enzymes are often capable of promiscuous substrate binding. Selenzyme is a user-friendly, widely used web-tool for ranking enzymes based on reaction similarity and additional features, including the phylogenetic distance between the source species of the enzyme and the intended host. While Selenzyme has proved invaluable in assisting with enzyme selection for known reactions, as well as many novel or orphan reactions, weaknesses have been exposed in its ability to rank functionally related enzymes. Within this update, we introduce a new reaction similarity scoring algorithm, which is used in conjunction with the previous similarity calculation, to improve the accuracy of enzyme suggestions based on non-identical similar reactions, across a range of EC reaction classes. This allows enzymes to be suggested for reactions not found within the database, even if the reaction is unbalanced. A database update was also carried out, to ensure that reaction and enzyme knowledge remains current. This update can be accessed at http://selenzymeRF.synbiochem.co.uk/.

Apa Reference Stoney, R. A., Hanko, E. K. R., Carbonell, P., & Breitling, R. (2023). SelenzymeRF: updated enzyme suggestion software for unbalanced biochemical reactions. Computational and Structural Biotechnology Journal, 21, 5868–5876. 10.1016/j.csbj.2023.11.039
Doi 10.1016/j.csbj.2023.11.039
Publication Date Jan 2023
Publication Type Article
Researcher Pablo Carbonell
Ontology Bioinformatics Software and Tools, Biological Databases, Phylogenetic Analysis
Research Groups Dynamics Biodesign Lab
Tools

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