Evidence map›Paper›PMID 38672513›Full record

ArticleBiomolecules2024

Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases.

Xiaotong Gu, Aaron S Kovacs, Yoochan Myung, David B Ascher

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Xiaotong GuSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia.ORCID 0000-0002-9946-167X
Aaron S KovacsSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia.
Yoochan MyungSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia.ORCID 0000-0002-6763-9808
David B AscherSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia.ORCID 0000-0003-2948-2413
Baker Heart and Diabetes Institute · AU

Funding

National Health and Medical Research Council GNT1174405
6 · The paper itself

Abstract

Glycosylation, a crucial and the most common post-translational modification, coordinates a multitude of biological functions through the attachment of glycans to proteins and lipids. This process, predominantly governed by glycosyltransferases (GTs) and glycoside hydrolases (GHs), decides not only biomolecular functionality but also protein stability and solubility. Mutations in these enzymes have been implicated in a spectrum of diseases, prompting critical research into the structural and functional consequences of such genetic variations. This study compiles an extensive dataset from ClinVar and UniProt, providing a nuanced analysis of 2603 variants within 343 GT and GH genes. We conduct thorough MTR score analyses for the proteins with the most documented variants using MTR3D-AF2 via AlphaFold2 (AlphaFold v2.2.4) predicted protein structure, with the analyses indicating that pathogenic mutations frequently correlate with Beta Bridge secondary structures. Further, the calculation of the solvent accessibility score and variant visualisation show that pathogenic mutations exhibit reduced solvent accessibility, suggesting the mutated residues are likely buried and their localisation is within protein cores. We also find that pathogenic variants are often found proximal to active and binding sites, which may interfere with substrate interactions. We also incorporate computational predictions to assess the impact of these mutations on protein function, utilising tools such as mCSM to predict the destabilisation effect of variants. By identifying these critical regions that are prone to disease-associated mutations, our study opens avenues for designing small molecules or biologics that can modulate enzyme function or compensate for the loss of stability due to these mutations.

Indexed as

Glycoside HydrolasesGlycosyltransferasesMutationGlycosylationHumansGlycoside HydrolasesGlycosyltransferasesClinVarglycoside hydrolases (GHs)glycosylationglycosyltransferases (GTs)MTR scoremutations

Identifiers

PMID38672513
PMCPMC11048727
OpenAlexW4394961904

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.