Evidence map›Paper›PMID 29782520›Full record

ArticlePLoS computational biology2018

Polymorphic sites preferentially avoid co-evolving residues in MHC class I proteins.

Linda Dib, Nicolas Salamin, David Gfeller

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. 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

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Simultaneous Bayesian inference of phylogeny and molecular coevolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

3 authors.

Linda DibDepartment of Oncology, Ludwig Institute for Cancer Research, University of Lausanne, Switzerland.
Nicolas SalaminSwiss Institutes of Bioinformatics, Quartier Sorge, Lausanne, Switzerland.
David GfellerDepartment of Oncology, Ludwig Institute for Cancer Research, University of Lausanne, Switzerland.ORCID 0000-0002-3952-0930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major histocompatibility complex class I (MHC-I) molecules are critical to adaptive immune defence mechanisms in vertebrate species and are encoded by highly polymorphic genes. Polymorphic sites are located close to the ligand-binding groove and entail MHC-I alleles with distinct binding specificities. Some efforts have been made to investigate the relationship between polymorphism and protein stability. However, less is known about the relationship between polymorphism and MHC-I co-evolutionary constraints. Using Direct Coupling Analysis (DCA) we found that co-evolution analysis accurately pinpoints structural contacts, although the protein family is restricted to vertebrates and comprises less than five hundred species, and that the co-evolutionary signal is mainly driven by inter-species changes, and not intra-species polymorphism. Moreover, we show that polymorphic sites in human preferentially avoid co-evolving residues, as well as residues involved in protein stability. These results suggest that sites displaying high polymorphism may have been selected during vertebrates' evolution to avoid co-evolutionary constraints and thereby maximize their mutability.

Indexed as

Evolution, MolecularHistocompatibility Antigens Class IAnimalsBinding SitesHumansModels, MolecularPhylogenyPolymorphism, GeneticProtein StabilityVertebratesHistocompatibility Antigens Class I

Identifiers

PMID29782520
PMCPMC5983860

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Registered trials

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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.