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EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions
Over the years, hundreds of enzyme reaction mechanisms have been studied using experimental and simulation methods. This rich literature on biological catalysis is now ripe for use as the foundation of new knowledge-based approaches to investigate enzyme mechanisms. Here, we present a tool able to a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555830/ https://www.ncbi.nlm.nih.gov/pubmed/37735566 http://dx.doi.org/10.1038/s41592-023-02006-7 |
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author | Ribeiro, Antonio J. M. Riziotis, Ioannis G. Tyzack, Jonathan D. Borkakoti, Neera Thornton, Janet M. |
author_facet | Ribeiro, Antonio J. M. Riziotis, Ioannis G. Tyzack, Jonathan D. Borkakoti, Neera Thornton, Janet M. |
author_sort | Ribeiro, Antonio J. M. |
collection | PubMed |
description | Over the years, hundreds of enzyme reaction mechanisms have been studied using experimental and simulation methods. This rich literature on biological catalysis is now ripe for use as the foundation of new knowledge-based approaches to investigate enzyme mechanisms. Here, we present a tool able to automatically infer mechanistic paths for a given three-dimensional active site and enzyme reaction, based on a set of catalytic rules compiled from the Mechanism and Catalytic Site Atlas, a database of enzyme mechanisms. EzMechanism (pronounced as ‘Easy’ Mechanism) is available to everyone through a web user interface. When studying a mechanism, EzMechanism facilitates and improves the generation of hypotheses, by making sure that relevant information is considered, as derived from the literature on both related and unrelated enzymes. We validated EzMechanism on a set of 62 enzymes and have identified paths for further improvement, including the need for additional and more generic catalytic rules. |
format | Online Article Text |
id | pubmed-10555830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-105558302023-10-07 EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions Ribeiro, Antonio J. M. Riziotis, Ioannis G. Tyzack, Jonathan D. Borkakoti, Neera Thornton, Janet M. Nat Methods Article Over the years, hundreds of enzyme reaction mechanisms have been studied using experimental and simulation methods. This rich literature on biological catalysis is now ripe for use as the foundation of new knowledge-based approaches to investigate enzyme mechanisms. Here, we present a tool able to automatically infer mechanistic paths for a given three-dimensional active site and enzyme reaction, based on a set of catalytic rules compiled from the Mechanism and Catalytic Site Atlas, a database of enzyme mechanisms. EzMechanism (pronounced as ‘Easy’ Mechanism) is available to everyone through a web user interface. When studying a mechanism, EzMechanism facilitates and improves the generation of hypotheses, by making sure that relevant information is considered, as derived from the literature on both related and unrelated enzymes. We validated EzMechanism on a set of 62 enzymes and have identified paths for further improvement, including the need for additional and more generic catalytic rules. Nature Publishing Group US 2023-09-21 2023 /pmc/articles/PMC10555830/ /pubmed/37735566 http://dx.doi.org/10.1038/s41592-023-02006-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ribeiro, Antonio J. M. Riziotis, Ioannis G. Tyzack, Jonathan D. Borkakoti, Neera Thornton, Janet M. EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title | EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title_full | EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title_fullStr | EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title_full_unstemmed | EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title_short | EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
title_sort | ezmechanism: an automated tool to propose catalytic mechanisms of enzyme reactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555830/ https://www.ncbi.nlm.nih.gov/pubmed/37735566 http://dx.doi.org/10.1038/s41592-023-02006-7 |
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