Evidence map›Paper›PMID 42039440›Full record

ArticlebioRxiv : the preprint server for biology2026

Comparative study of two xanthan gum glycosyltransferases combining AI structure predictions and molecular modeling.

Davide Luciano, Silje Sneve, Gaston Courtade

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Davide LucianoDepartment of Biotechnology and Food Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2656-7334
Silje SneveDepartment of Biotechnology and Food Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
Gaston CourtadeDepartment of Biotechnology and Food Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-1644-3223

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
NIGMS NIH HHS P41 GM111135
6 · The paper itself

Abstract

Xanthan gum is a widely used industrial polysaccharide employed as a thickening and stabilizing agent in food, pharmaceutical, and technological applications. Its biosynthesis involves membrane-associated glycosyltransferases that assemble the repeating unit at the cytoplasmic side of the inner membrane. Among them, GumH and GumI catalyze consecutive reactions using the same donor substrate, guanosine 5'-diphospho-alpha-D-mannose, but with opposite stereoselectivity. Despite their biochemical characterization, structural insights into their catalytic mechanisms and membrane interactions remain limited, hindering a detailed understanding of their function and future engineering efforts. In this work, we combined artificial intelligence-based structure prediction with atomistic molecular dynamics simulations to investigate the structural organization and substrate-binding modes of GumH (family GT4) and GumI (family GT94). The predicted apo structures exhibit a conserved GT-B fold but differ in interdomain flexibility and membrane-anchoring strategies. GumH displays a more structured interdomain linker and a defined clamp-like region in the acceptor-binding domain, consistent with stable membrane interaction, whereas GumI shows a more flexible linker and an open groove architecture. Modeling of the donor-bound complexes reveals distinct substrate-binding modes. In GumH, it adopts a geometry consistent with its retaining stereochemical outcome, positioning the sugar close to the conserved catalytic residue. In contrast, GumI exhibits a different donor orientation, lacking a clearly positioned catalytic base near the reactive center, suggesting a substrate-assisted catalytic mechanism. Although the predicted ternary complexes show limited stability in our simulations, they provide chemically reasonable conformations and offer structural insights into substrate recognition, membrane association, and stereochemical control in these two glycosyltransferase families.

Indexed as

AIBoltzglycosyltransferaseGumHGumImolecular modelingxanthan gum

Identifiers

PMID42039440
PMCPMC13104830

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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.