ReviewGlycobiology2011
Systems glycobiology: biochemical reaction networks regulating glycan structure and function.
Review in Glycobiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Pooled it
- Beyond the sugar coating: mucin-type O-Glycosylation as an underappreciated player in brain function and disease.Molecular psychiatry · 2026Review
- Editor's Choice GlycoEnzDB: a database of enzymes involved in human glycosylation.Glycobiology · 2025Article
- Mammalian Cell Surface Display for High-Throughput Protein Engineering of Glycosyltransferases.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Cell- and tissue-specific glycosylation pathways informed by single-cell transcriptomics.NAR genomics and bioinformatics · 2024Article
- Article
- Cell and tissue-specific glycosylation pathways informed by single-cell transcriptomics.bioRxiv : the preprint server for biology · 2024Article
- CytoCopasi: a chemical systems biology target and drug discovery visual data analytics platform.Bioinformatics (Oxford, England) · 2023Article
- Forward Genetic Screens of Human Glycosylation Pathways Using the GlycoGene CRISPR Library.Current protocols · 2022Article
- Comparative Glycomics Analysis of Mass Spectrometry Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- A GlycoGene CRISPR-Cas9 lentiviral library to study lectin binding and human glycan biosynthesis pathways.Glycobiology · 2021Article
- Review
- Zinc Deficiency Disturbs Mucin Expression,International journal of molecular sciences · 2020Article
- Robustness in glycosylation systems: effect of modified monosaccharides, acceptor decoys and azido sugars on cellular nucleotide-sugar levels and pattern of N-linked glycosylation.Molecular omics · 2020Article
- Cell-Free Synthetic Glycobiology: Designing and Engineering Glycomolecules Outside of Living Cells.Frontiers in chemistry · 2020Review
- A mechanism for bistability in glycosylation.PLoS computational biology · 2018Article
- A Comprehensive, Open-source Platform for Mass Spectrometry-based Glycoproteomics Data Analysis.Molecular & cellular proteomics : MCP · 2017Article
- Predictive glycoengineering of biosimilars using a Markov chain glycosylation model.Biotechnology journal · 2017Article
- Biological roles of glycans.Glycobiology · 2017Review
- Multi-level regulation of cellular glycosylation: from genes to transcript to enzyme to structure.Current opinion in structural biology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
There is a growing use of bioinformatics based methods in the field of Glycobiology. These have been used largely to curate glycan structures, organize array-based experimental data and display existing knowledge of glycosylation-related pathways in silico. Although the cataloging of vast amounts of data is beneficial, it is often a challenge to gain meaningful mechanistic insight from this exercise alone. The development of specific analysis tools to query the database is necessary. If these queries can integrate existing knowledge of glycobiology, new insights may be gained. Such queries that couple biochemical knowledge and mathematics have been developed in the field of Systems Biology. The current review summarizes the current state of the art in the application of computational modeling in the field of Glycobiology. It provides (i) an overview of experimental and online resources that can be used to construct glycosylation reaction networks, (ii) mathematical methods to formulate the problem including a description of ordinary differential equation and logic-based reaction networks, (iii) optimization techniques that can be applied to fit experimental data for the purpose of model reconstruction and for evaluating unknown model parameters, (iv) post-simulation analysis methods that yield experimentally testable hypotheses and (v) a summary of available software tools that can be used by non-specialists to perform many of the above functions.
Indexed as
Identifiers
What OpenQuestion holds
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.