Evidence map›Paper›PMID 27285999›Full record

ReviewPLoS computational biology2016

Revealing Atomic-Level Mechanisms of Protein Allostery with Molecular Dynamics Simulations.

Samuel Hertig, Naomi R Latorraca, Ron O Dror

Abstract readReview
In one paragraph

Review in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Visualizing agonist-induced M2 receptor activation regulated by aromatic ring dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Allosteric regulation of kinase activity in living cells.bioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Samuel HertigDepartment of Computer Science, Stanford University, Stanford, California, United States of America.
Naomi R LatorracaDepartment of Computer Science, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-8310-8708
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-6418-2793

Funding

Molecular Biophysics Training Program at StanfordT32GM008294 · NIGMS · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 1989 to 2019
$7.4M
NIGMS NIH HHS T32 GM008294
6 · The paper itself

Abstract

Molecular dynamics (MD) simulations have become a powerful and popular method for the study of protein allostery, the widespread phenomenon in which a stimulus at one site on a protein influences the properties of another site on the protein. By capturing the motions of a protein's constituent atoms, simulations can enable the discovery of allosteric binding sites and the determination of the mechanistic basis for allostery. These results can provide a foundation for applications including rational drug design and protein engineering. Here, we provide an introduction to the investigation of protein allostery using molecular dynamics simulation. We emphasize the importance of designing simulations that include appropriate perturbations to the molecular system, such as the addition or removal of ligands or the application of mechanical force. We also demonstrate how the bidirectional nature of allostery-the fact that the two sites involved influence one another in a symmetrical manner-can facilitate such investigations. Through a series of case studies, we illustrate how these concepts have been used to reveal the structural basis for allostery in several proteins and protein complexes of biological and pharmaceutical interest.

Indexed as

Molecular Dynamics SimulationAdhesins, BacterialAllosteric RegulationAllosteric SiteComputational BiologyComputer SimulationDrug DesignFibronectinsHeterotrimeric GTP-Binding ProteinsLigandsProtein BindingProtein ConformationProteinsReceptor, Muscarinic M2Receptors, Adrenergic, beta-2Adhesins, BacterialFibronectinsHeterotrimeric GTP-Binding ProteinsLigandsProteinsReceptor, Muscarinic M2Receptors, Adrenergic, beta-2

Identifiers

PMID27285999
PMCPMC4902200

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.