Evidence map›Paper›PMID 32234211›Full record

ArticleeLife2020

Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases.

Rahil Taujale, Aarya Venkat, Liang-Chin Huang, Zhongliang Zhou, Wayland Yeung, Khaled M Rasheed, Sheng Li, Arthur S Edison, Kelley W Moremen, Natarajan Kannan

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 96 citations in OpenAlex.

  1. Predicting Functional Diversity Within Enzyme Families: A Practical Perspective.Chembiochem : a European journal of chemical biology · 2026
    Review
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  4. A molecular description of plant cellulose biosynthesis inhibition.bioRxiv : the preprint server for biology · 2026
    Article
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  6. Article
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  10. Fungal Chitin Synthases: Structure, Function, and Regulation.Journal of fungi (Basel, Switzerland) · 2025
    Review
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  15. Article
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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

10 authors at 1 institution in 1 country.

Rahil TaujaleInstitute of Bioinformatics, University of Georgia, Athens, Georgia.ORCID 0000-0003-1292-1619
Aarya VenkatDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia.ORCID 0000-0002-8793-4097
Liang-Chin HuangInstitute of Bioinformatics, University of Georgia, Athens, Georgia.
Zhongliang ZhouDepartment of Computer Science, University of Georgia, Athens, Georgia.
Wayland YeungInstitute of Bioinformatics, University of Georgia, Athens, Georgia.
Khaled M RasheedDepartment of Computer Science, University of Georgia, Athens, Georgia.
Sheng LiDepartment of Computer Science, University of Georgia, Athens, Georgia.
Arthur S EdisonInstitute of Bioinformatics, University of Georgia, Athens, Georgia.ORCID 0000-0002-5686-2350
Kelley W MoremenComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia.
Natarajan KannanInstitute of Bioinformatics, University of Georgia, Athens, Georgia.ORCID 0000-0002-2833-8375
University of Georgia · US

Funding

Origin of N-Glycan Site-Specific HeterogeneityR01GM130915 · NIGMS · UNIVERSITY OF GEORGIA · PI KANNAN, NATARAJAN, MOREMEN, KELLEY W. · 2019 to 2022
$3.4M
Glycoscience Training ProgramT32GM107004 · NIGMS · UNIVERSITY OF GEORGIA · PI AMSTER, I JONATHAN, HALTIWANGER, ROBERT S. · 2014 to 2021
$1.3M
NIGMS NIH HHS R01 GM130915NIGMS NIH HHS T32 GM107004
6 · The paper itself

Abstract

Glycosyltransferases (GTs) are prevalent across the tree of life and regulate nearly all aspects of cellular functions. The evolutionary basis for their complex and diverse modes of catalytic functions remain enigmatic. Here, based on deep mining of over half million GT-A fold sequences, we define a minimal core component shared among functionally diverse enzymes. We find that variations in the common core and emergence of hypervariable loops extending from the core contributed to GT-A diversity. We provide a phylogenetic framework relating diverse GT-A fold families for the first time and show that inverting and retaining mechanisms emerged multiple times independently during evolution. Using evolutionary information encoded in primary sequences, we trained a machine learning classifier to predict donor specificity with nearly 90% accuracy and deployed it for the annotation of understudied GTs. Our studies provide an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation.

Indexed as

Protein FoldingEvolution, MolecularGlycosyltransferasesHumansPhylogenySubstrate SpecificityGlycosyltransferasesA. thalianaC. eleganscommon corecomputational biologyD. melanogasterdonor predictionevolutionary biologyglycosyltransferaseGT evolutionGT phylogenyhumanmachine learningS. cerevisiaesystems biology

Identifiers

PMID32234211
PMCPMC7185993
OpenAlexW3014163652

What OpenQuestion holds

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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 OpenQuestion graph.