Evidence map›Paper›PMID 38605212›Full record

ArticleCommunications biology2024

A unified analysis of evolutionary and population constraint in protein domains highlights structural features and pathogenic sites.

Stuart A MacGowan, Fábio Madeira, Thiago Britto-Borges, Geoffrey J Barton

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In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

4 authors.

Stuart A MacGowanDivision of Computational Biology School of Life Sciences University of Dundee, Dow Street Dundee, DD1 5EH, Scotland, UK.ORCID 0000-0003-4233-5071
Fábio MadeiraDivision of Computational Biology School of Life Sciences University of Dundee, Dow Street Dundee, DD1 5EH, Scotland, UK.ORCID 0000-0001-8728-9449
Thiago Britto-BorgesDivision of Computational Biology School of Life Sciences University of Dundee, Dow Street Dundee, DD1 5EH, Scotland, UK.
Geoffrey J BartonDivision of Computational Biology School of Life Sciences University of Dundee, Dow Street Dundee, DD1 5EH, Scotland, UK. gjbarton@dundee.ac.uk.ORCID 0000-0002-9014-5355

Funding

Wellcome Trust
6 · The paper itself

Abstract

Protein evolution is constrained by structure and function, creating patterns in residue conservation that are routinely exploited to predict structure and other features. Similar constraints should affect variation across individuals, but it is only with the growth of human population sequencing that this has been tested at scale. Now, human population constraint has established applications in pathogenicity prediction, but it has not yet been explored for structural inference. Here, we map 2.4 million population variants to 5885 protein families and quantify residue-level constraint with a new Missense Enrichment Score (MES). Analysis of 61,214 structures from the PDB spanning 3661 families shows that missense depleted sites are enriched in buried residues or those involved in small-molecule or protein binding. MES is complementary to evolutionary conservation and a combined analysis allows a new classification of residues according to a conservation plane. This approach finds functional residues that are evolutionarily diverse, which can be related to specificity, as well as family-wide conserved sites that are critical for folding or function. We also find a possible contrast between lethal and non-lethal pathogenic sites, and a surprising clinical variant hot spot at a subset of missense enriched positions.

Indexed as

ProteinsBase SequenceHumansProtein BindingProtein DomainsProteins

Identifiers

PMID38605212
PMCPMC11009406

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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.