Evidence map›Paper›PMID 27115535›Full record

ArticlePLoS computational biology2016

Rigid Residue Scan Simulations Systematically Reveal Residue Entropic Roles in Protein Allostery.

Robert Kalescky, Hongyu Zhou, Jin Liu, Peng Tao

Abstract read
In one paragraph

Article 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Directional information flow as a tool for analyzing protein allostery.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Allosterism in the PDZ Family.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Computational study on the allosteric mechanism ofComputational and structural biotechnology journal · 2021
    Article
  9. Review
  10. Article
  11. Directed kinetic transition network model.The Journal of chemical physics · 2019
    Article
  12. Review
  13. Article
  14. Article
  15. Seeking allosteric networks in PDZ domains.Protein engineering, design & selection : PEDS · 2018
    Review
  16. Article
  17. Energetic redistribution in allostery to execute protein function.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Robert KalesckyDepartment of Chemistry, Center for Drug Discovery, Design, and Delivery (CD4), Center for Scientific Computation, Southern Methodist University, Dallas, Texas, United States of America.
Hongyu ZhouDepartment of Chemistry, Center for Drug Discovery, Design, and Delivery (CD4), Center for Scientific Computation, Southern Methodist University, Dallas, Texas, United States of America.
Jin LiuDepartment of Chemistry, Center for Drug Discovery, Design, and Delivery (CD4), Center for Scientific Computation, Southern Methodist University, Dallas, Texas, United States of America.
Peng TaoDepartment of Chemistry, Center for Drug Discovery, Design, and Delivery (CD4), Center for Scientific Computation, Southern Methodist University, Dallas, Texas, United States of America.ORCID http://orcid.org/0000-0002-2488-0239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intra-protein information is transmitted over distances via allosteric processes. This ubiquitous protein process allows for protein function changes due to ligand binding events. Understanding protein allostery is essential to understanding protein functions. In this study, allostery in the second PDZ domain (PDZ2) in the human PTP1E protein is examined as model system to advance a recently developed rigid residue scan method combining with configurational entropy calculation and principal component analysis. The contributions from individual residues to whole-protein dynamics and allostery were systematically assessed via rigid body simulations of both unbound and ligand-bound states of the protein. The entropic contributions of individual residues to whole-protein dynamics were evaluated based on covariance-based correlation analysis of all simulations. The changes of overall protein entropy when individual residues being held rigid support that the rigidity/flexibility equilibrium in protein structure is governed by the La Châtelier's principle of chemical equilibrium. Key residues of PDZ2 allostery were identified with good agreement with NMR studies of the same protein bound to the same peptide. On the other hand, the change of entropic contribution from each residue upon perturbation revealed intrinsic differences among all the residues. The quasi-harmonic and principal component analyses of simulations without rigid residue perturbation showed a coherent allosteric mode from unbound and bound states, respectively. The projection of simulations with rigid residue perturbation onto coherent allosteric modes demonstrated the intrinsic shifting of ensemble distributions supporting the population-shift theory of protein allostery. Overall, the study presented here provides a robust and systematic approach to estimate the contribution of individual residue internal motion to overall protein dynamics and allostery.

Indexed as

Allosteric RegulationComputational BiologyComputer SimulationEntropyHumansLigandsModels, MolecularMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularPDZ DomainsPrincipal Component AnalysisProtein BindingProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 13LigandsProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 13PTPN13 protein, human

Identifiers

PMID27115535
PMCPMC4846164

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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.