Evidence map›Paper›PMID 28993150›Full record

ReviewBiochimica et biophysica acta. Biomembranes2018

Applications of sequence coevolution in membrane protein biochemistry.

John M Nicoludis, Rachelle Gaudet

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Biomembranes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm.Interdisciplinary sciences, computational life sciences · 2024
    Article
  4. Article
  5. Article
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  15. Review
  16. The ghrelinThe Journal of biological chemistry · 2019
    Article
  17. Interaction specificity of clustered protocadherins inferred from sequence covariation and structural analysis.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. Article
  20. Structural models of the NaPi-II sodium-phosphate cotransporters.Pflugers Archiv : European journal of physiology · 2019
    Review
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

2 authors.

John M NicoludisDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, United States.
Rachelle GaudetDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, United States. Electronic address: gaudet@mcb.harvard.edu.

Funding

Mechanism of Divalent Metal Transport by NRamp-Family TransportersR01GM120996 · NIGMS · HARVARD UNIVERSITY · PI GAUDET, RACHELLE · 2017 to 2024
$3.0M
NIGMS NIH HHS R01 GM120996
6 · The paper itself

Abstract

Recently, protein sequence coevolution analysis has matured into a predictive powerhouse for protein structure and function. Direct methods, which use global statistical models of sequence coevolution, have enabled the prediction of membrane and disordered protein structures, protein complex architectures, and the functional effects of mutations in proteins. The field of membrane protein biochemistry and structural biology has embraced these computational techniques, which provide functional and structural information in an otherwise experimentally-challenging field. Here we review recent applications of protein sequence coevolution analysis to membrane protein structure and function and highlight the promising directions and future obstacles in these fields. We provide insights and guidelines for membrane protein biochemists who wish to apply sequence coevolution analysis to a given experimental system.

Indexed as

Evolution, MolecularAnimalsComputational BiologyHumansMembrane ProteinsModels, MolecularProtein BindingProtein Structure, TertiarySequence AlignmentMembrane ProteinsABC transportersClustered protocadherinConformational changesMembrane proteinsProtein-protein interactionsSequence coevolution analysis

Identifiers

PMID28993150
PMCPMC5807202

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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.