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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2020
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.
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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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