Evidence map›Paper›PMID 20161451›Full record

ArticleJournal of chemical theory and computation2009

Quantifying Correlations Between Allosteric Sites in Thermodynamic Ensembles.

Christopher L McClendon, Gregory Friedland, David L Mobley, Homeira Amirkhani, Matthew P Jacobson

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

115 citing papers in PubMed.

  1. Article
  2. Review
  3. pH-Driven βACS omega · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Deep learning-guided design of dynamic proteins.Science (New York, N.Y.) · 2025
    Article
  8. Article
  9. Article
  10. SARS-CoV-2 3CLPro Dihedral Angles Reveal Allosteric Signaling.bioRxiv : the preprint server for biology · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Allosteric Modulators of Dopamine DMolecules (Basel, Switzerland) · 2022
    Review
  20. Calculation of centralities in protein kinase A.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article

55 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

5 authors.

Christopher L McClendonUniversity of California San Francisco, Graduate Group in Biophysics and Department of Pharmaceutical Chemistry.
Gregory Friedland
David L Mobley
Homeira Amirkhani
Matthew P Jacobson

Funding

X-ray Screening and Rapid Structure DeterminationP50GM082250 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRANKEL, ALAN D · 2007 to 2018
$48.8M
NIGMS NIH HHS P50 GM082250
6 · The paper itself

Abstract

Allostery describes altered protein function at one site due to a perturbation at another site. One mechanism of allostery involves correlated motions, which can occur even in the absence of substantial conformational change. We present a novel method, "MutInf", to identify statistically significant correlated motions from equilibrium molecular dynamics simulations. Our approach analyzes both backbone and sidechain motions using internal coordinates to account for the gear-like twists that can take place even in the absence of the large conformational changes typical of traditional allosteric proteins. We quantify correlated motions using a mutual information metric, which we extend to incorporate data from multiple short simulations and to filter out correlations that are not statistically significant. Applying our approach to uncover mechanisms of cooperative small molecule binding in human interleukin-2, we identify clusters of correlated residues from 50 ns of molecular dynamics simulations. Interestingly, two of the clusters with the strongest correlations highlight known cooperative small-molecule binding sites and show substantial correlations between these sites. These cooperative binding sites on interleukin-2 are correlated not only through the hydrophobic core of the protein but also through a dynamic polar network of hydrogen bonding and electrostatic interactions. Since this approach identifies correlated conformations in an unbiased, statistically robust manner, it should be a useful tool for finding novel or "orphan" allosteric sites in proteins of biological and therapeutic importance.

Identifiers

PMID20161451
PMCPMC2790287

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.