RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data
[Image: see text] Despite the increasing use of biocatalysis for organic synthesis, there are currently no databases that adequately capture synthetic biotransformations. The lack of a biocatalysis database prevents accelerating biocatalyst characterization efforts from being leveraged to quickly id...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476152/ https://www.ncbi.nlm.nih.gov/pubmed/37671181 http://dx.doi.org/10.1021/acscatal.3c01418 |
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author | Finnigan, William Lubberink, Max Hepworth, Lorna J. Citoler, Joan Mattey, Ashley P. Ford, Grayson J. Sangster, Jack Cosgrove, Sebastian C. da Costa, Bruna Zucoloto Heath, Rachel S. Thorpe, Thomas W. Yu, Yuqi Flitsch, Sabine L. Turner, Nicholas J. |
author_facet | Finnigan, William Lubberink, Max Hepworth, Lorna J. Citoler, Joan Mattey, Ashley P. Ford, Grayson J. Sangster, Jack Cosgrove, Sebastian C. da Costa, Bruna Zucoloto Heath, Rachel S. Thorpe, Thomas W. Yu, Yuqi Flitsch, Sabine L. Turner, Nicholas J. |
author_sort | Finnigan, William |
collection | PubMed |
description | [Image: see text] Despite the increasing use of biocatalysis for organic synthesis, there are currently no databases that adequately capture synthetic biotransformations. The lack of a biocatalysis database prevents accelerating biocatalyst characterization efforts from being leveraged to quickly identify candidate enzymes for reactions or cascades, slowing their development. The RetroBioCat Database (available at retrobiocat.com) addresses this gap by capturing information on synthetic biotransformations and providing an analysis platform that allows biocatalysis data to be searched and explored through a range of highly interactive data visualization tools. This database makes it simple to explore available enzymes, their substrate scopes, and how characterized enzymes are related to each other and the wider sequence space. Data entry is facilitated through an openly accessible curation platform, featuring automated tools to accelerate the process. The RetroBioCat Database democratizes biocatalysis knowledge and has the potential to accelerate biocatalytic reaction development, making it a valuable resource for the community. |
format | Online Article Text |
id | pubmed-10476152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104761522023-09-05 RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data Finnigan, William Lubberink, Max Hepworth, Lorna J. Citoler, Joan Mattey, Ashley P. Ford, Grayson J. Sangster, Jack Cosgrove, Sebastian C. da Costa, Bruna Zucoloto Heath, Rachel S. Thorpe, Thomas W. Yu, Yuqi Flitsch, Sabine L. Turner, Nicholas J. ACS Catal [Image: see text] Despite the increasing use of biocatalysis for organic synthesis, there are currently no databases that adequately capture synthetic biotransformations. The lack of a biocatalysis database prevents accelerating biocatalyst characterization efforts from being leveraged to quickly identify candidate enzymes for reactions or cascades, slowing their development. The RetroBioCat Database (available at retrobiocat.com) addresses this gap by capturing information on synthetic biotransformations and providing an analysis platform that allows biocatalysis data to be searched and explored through a range of highly interactive data visualization tools. This database makes it simple to explore available enzymes, their substrate scopes, and how characterized enzymes are related to each other and the wider sequence space. Data entry is facilitated through an openly accessible curation platform, featuring automated tools to accelerate the process. The RetroBioCat Database democratizes biocatalysis knowledge and has the potential to accelerate biocatalytic reaction development, making it a valuable resource for the community. American Chemical Society 2023-08-22 /pmc/articles/PMC10476152/ /pubmed/37671181 http://dx.doi.org/10.1021/acscatal.3c01418 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Finnigan, William Lubberink, Max Hepworth, Lorna J. Citoler, Joan Mattey, Ashley P. Ford, Grayson J. Sangster, Jack Cosgrove, Sebastian C. da Costa, Bruna Zucoloto Heath, Rachel S. Thorpe, Thomas W. Yu, Yuqi Flitsch, Sabine L. Turner, Nicholas J. RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data |
title | RetroBioCat Database:
A Platform for Collaborative
Curation and Automated Meta-Analysis of Biocatalysis Data |
title_full | RetroBioCat Database:
A Platform for Collaborative
Curation and Automated Meta-Analysis of Biocatalysis Data |
title_fullStr | RetroBioCat Database:
A Platform for Collaborative
Curation and Automated Meta-Analysis of Biocatalysis Data |
title_full_unstemmed | RetroBioCat Database:
A Platform for Collaborative
Curation and Automated Meta-Analysis of Biocatalysis Data |
title_short | RetroBioCat Database:
A Platform for Collaborative
Curation and Automated Meta-Analysis of Biocatalysis Data |
title_sort | retrobiocat database:
a platform for collaborative
curation and automated meta-analysis of biocatalysis data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476152/ https://www.ncbi.nlm.nih.gov/pubmed/37671181 http://dx.doi.org/10.1021/acscatal.3c01418 |
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