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A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR)
Systems glycobiology aims to provide models and analysis tools that account for the biosynthesis, regulation, and interactions with glycoconjugates. To facilitate these methods, there is a need for a clear glycan representation accessible to both computers and humans. Linear Code, a linearized and r...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beilstein-Institut
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607430/ https://www.ncbi.nlm.nih.gov/pubmed/33178355 http://dx.doi.org/10.3762/bjoc.16.215 |
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author | Kellman, Benjamin P Zhang, Yujie Logomasini, Emma Meinhardt, Eric Godinez-Macias, Karla P Chiang, Austin W T Sorrentino, James T Liang, Chenguang Bao, Bokan Zhou, Yusen Akase, Sachiko Sogabe, Isami Kouka, Thukaa Winzeler, Elizabeth A Wilson, Iain B H Campbell, Matthew P Neelamegham, Sriram Krambeck, Frederick J Aoki-Kinoshita, Kiyoko F Lewis, Nathan E |
author_facet | Kellman, Benjamin P Zhang, Yujie Logomasini, Emma Meinhardt, Eric Godinez-Macias, Karla P Chiang, Austin W T Sorrentino, James T Liang, Chenguang Bao, Bokan Zhou, Yusen Akase, Sachiko Sogabe, Isami Kouka, Thukaa Winzeler, Elizabeth A Wilson, Iain B H Campbell, Matthew P Neelamegham, Sriram Krambeck, Frederick J Aoki-Kinoshita, Kiyoko F Lewis, Nathan E |
author_sort | Kellman, Benjamin P |
collection | PubMed |
description | Systems glycobiology aims to provide models and analysis tools that account for the biosynthesis, regulation, and interactions with glycoconjugates. To facilitate these methods, there is a need for a clear glycan representation accessible to both computers and humans. Linear Code, a linearized and readily parsable glycan structure representation, is such a language. For this reason, Linear Code was adapted to represent reaction rules, but the syntax has drifted from its original description to accommodate new and originally unforeseen challenges. Here, we delineate the consensuses and inconsistencies that have arisen through this adaptation. We recommend options for a consensus-based extension of Linear Code that can be used for reaction rule specification going forward. Through this extension and specification of Linear Code to reaction rules, we aim to minimize inconsistent symbology thereby making glycan database queries easier. With a clear guide for generating reaction rule descriptions, glycan synthesis models will be more interoperable and reproducible thereby moving glycoinformatics closer to compliance with FAIR standards. Here, we present Linear Code for Reaction Rules (LiCoRR), version 1.0, an unambiguous representation for describing glycosylation reactions in both literature and code. |
format | Online Article Text |
id | pubmed-7607430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-76074302020-11-10 A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) Kellman, Benjamin P Zhang, Yujie Logomasini, Emma Meinhardt, Eric Godinez-Macias, Karla P Chiang, Austin W T Sorrentino, James T Liang, Chenguang Bao, Bokan Zhou, Yusen Akase, Sachiko Sogabe, Isami Kouka, Thukaa Winzeler, Elizabeth A Wilson, Iain B H Campbell, Matthew P Neelamegham, Sriram Krambeck, Frederick J Aoki-Kinoshita, Kiyoko F Lewis, Nathan E Beilstein J Org Chem Commentary Systems glycobiology aims to provide models and analysis tools that account for the biosynthesis, regulation, and interactions with glycoconjugates. To facilitate these methods, there is a need for a clear glycan representation accessible to both computers and humans. Linear Code, a linearized and readily parsable glycan structure representation, is such a language. For this reason, Linear Code was adapted to represent reaction rules, but the syntax has drifted from its original description to accommodate new and originally unforeseen challenges. Here, we delineate the consensuses and inconsistencies that have arisen through this adaptation. We recommend options for a consensus-based extension of Linear Code that can be used for reaction rule specification going forward. Through this extension and specification of Linear Code to reaction rules, we aim to minimize inconsistent symbology thereby making glycan database queries easier. With a clear guide for generating reaction rule descriptions, glycan synthesis models will be more interoperable and reproducible thereby moving glycoinformatics closer to compliance with FAIR standards. Here, we present Linear Code for Reaction Rules (LiCoRR), version 1.0, an unambiguous representation for describing glycosylation reactions in both literature and code. Beilstein-Institut 2020-10-27 /pmc/articles/PMC7607430/ /pubmed/33178355 http://dx.doi.org/10.3762/bjoc.16.215 Text en Copyright © 2020, Kellman et al. https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjoc/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Organic Chemistry terms and conditions: (https://www.beilstein-journals.org/bjoc/terms) |
spellingShingle | Commentary Kellman, Benjamin P Zhang, Yujie Logomasini, Emma Meinhardt, Eric Godinez-Macias, Karla P Chiang, Austin W T Sorrentino, James T Liang, Chenguang Bao, Bokan Zhou, Yusen Akase, Sachiko Sogabe, Isami Kouka, Thukaa Winzeler, Elizabeth A Wilson, Iain B H Campbell, Matthew P Neelamegham, Sriram Krambeck, Frederick J Aoki-Kinoshita, Kiyoko F Lewis, Nathan E A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title | A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title_full | A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title_fullStr | A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title_full_unstemmed | A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title_short | A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR) |
title_sort | consensus-based and readable extension of linear code for reaction rules (licorr) |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607430/ https://www.ncbi.nlm.nih.gov/pubmed/33178355 http://dx.doi.org/10.3762/bjoc.16.215 |
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