ArticleBeilstein journal of organic chemistry2020
A consensus-based and readable extension of
Article in Beilstein journal of organic chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- In silico simulation of glycosylation and related pathways.Analytical and bioanalytical chemistry · 2024Review
- GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.Bioinformatics (Oxford, England) · 2022Article
- Article
- Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration.Nature communications · 2022Article
- Functions of Glycosylation and Related Web Resources for Its Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication.Trends in biochemical sciences · 2021Review
- GlycoBioinformatics.Beilstein journal of organic chemistry · 2021Article
- Simulating the enzymes of ganglioside biosynthesis with Glycologue.Beilstein journal of organic chemistry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.