Evidence map›Paper›PMID 32737291›Full record

ArticleNature communications2020

Mapping allosteric communications within individual proteins.

Jian Wang, Abha Jain, Leanna R McDonald, Craig Gambogi, Andrew L Lee, Nikolay V Dokholyan

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Breaking glycolysis: allosteric hotspots for multi-target drug repurposing.Journal of computer-aided molecular design · 2026
    Article
  8. SegDesign: A modular framework for controllable protein segment engineering.Protein science : a publication of the Protein Society · 2026
    Article
  9. Unified protein-small molecule graph neural networks for binding site prediction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Optogenetic enzymes: A deep dive into design and impact.Current opinion in structural biology · 2025
    Review
  19. Article
  20. Review

43 more citing papers are in PubMed but not listed here.

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

6 authors.

Jian WangDepartment of Pharmacology, Penn State College of Medicine, Hershey, PA, 17033-0850, USA.ORCID http://orcid.org/0000-0001-7768-2802
Abha JainDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7363, USA.
Leanna R McDonaldDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7363, USA.
Craig GambogiDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7363, USA.
Andrew L LeeDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7363, USA.
Nikolay V DokholyanDepartment of Pharmacology, Penn State College of Medicine, Hershey, PA, 17033-0850, USA. dokh@psu.edu.ORCID http://orcid.org/0000-0002-8225-4025

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Nanoscale programming of cellular and physiological phenotypes: EquipmentR35GM134864 · NIGMS · UNIVERSITY OF VIRGINIA · PI Nikolay Dokholyan · 2020 to 2026
$5.2M
Engineering allostery for in vivo protein controlR01GM123247 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2017 to 2019
$1.5M
Integrating cheminformatics and molecular simulations for virtual drug screeningR01GM114015 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2016 to 2019
$1.1M
NCATS NIH HHS UL1 TR002014NIGMS NIH HHS R01 GM114015NIGMS NIH HHS R01 GM123247NIGMS NIH HHS R35 GM134864
6 · The paper itself

Abstract

Allostery in proteins influences various biological processes such as regulation of gene transcription and activities of enzymes and cell signaling. Computational approaches for analysis of allosteric coupling provide inexpensive opportunities to predict mutations and to design small-molecule agents to control protein function and cellular activity. We develop a computationally efficient network-based method, Ohm, to identify and characterize allosteric communication networks within proteins. Unlike previously developed simulation-based approaches, Ohm relies solely on the structure of the protein of interest. We use Ohm to map allosteric networks in a dataset composed of 20 proteins experimentally identified to be allosterically regulated. Further, the Ohm allostery prediction for the protein CheY correlates well with NMR CHESCA studies. Our webserver, Ohm.dokhlab.org, automatically determines allosteric network architecture and identifies critical coupled residues within this network.

Indexed as

AlgorithmsSoftwareAllosteric RegulationAllosteric SiteAnimalsEnzyme InhibitorsEscherichia coliEscherichia coli ProteinsHumansInternetMethyl-Accepting Chemotaxis ProteinsMolecular Dynamics SimulationProtein Interaction MappingProtein Structure, SecondarycheY protein, E coliEnzyme InhibitorsEscherichia coli ProteinsMethyl-Accepting Chemotaxis Proteins

Identifiers

PMID32737291
PMCPMC7395124

What OpenQuestion holds

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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.