Evidence map›Paper›PMID 31354173›Full record

ArticleMolecular physics2019

REDAN: Relative Entropy-Based Dynamical Allosteric Network Model.

Hongyu Zhou, Peng Tao

Abstract read
In one paragraph

Article in Molecular physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Functional dynamics of water in New Delhi metallo-β-lactamase catalysis.Protein science : a publication of the Protein Society · 2026
    Article
  2. Machine learning and protein allostery.Trends in biochemical sciences · 2023
    Review
  3. Article
  4. Allosteric control of ACE2 peptidase domain dynamics.Organic & biomolecular chemistry · 2022
    Article
  5. Article
  6. Deciphering the Allosteric Process of theThe journal of physical chemistry. B · 2020
    Article
  7. Review
  8. Directed kinetic transition network model.The Journal of chemical physics · 2019
    Article
  9. 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

2 authors.

Hongyu ZhouDepartment of Chemistry, Southern Methodist University, Dallas, Texas 75275, United States.
Peng TaoDepartment of Chemistry, Southern Methodist University, Dallas, Texas 75275, United States.

Funding

Probing Hidden Conformational Space and Dynamical States of Circadian Clock Proteins through Rigid Residue Scan and Machine LearningR15GM122013 · NIGMS · SOUTHERN METHODIST UNIVERSITY · PI TAO, PENG · 2018 to 2023
$800k
NIGMS NIH HHS R15 GM122013
6 · The paper itself

Abstract

Protein allostery is ubiquitous phenomena that are important for cellular signaling processes. Despite extensive methodology development, a quantitative model is still needed to accurately measure protein allosteric response upon external perturbation. Here, we introduced the relative entropy concept from information theory as a quantitative metric to develop a method for measurement of the population shift with regard to protein structure during allosteric transition. This method is referred to as relative entropy-based dynamical allosteric network (REDAN) model. Using this method, protein allostery could be evaluated at three mutually dependent structural levels: allosteric residues, allosteric pathways, and allosteric communities. All three levels are carried out using rigorous searching algorithms based on relative entropy. Application of the REDAN model on the second PDZ domain (PDZ2) in the human PTP1E protein provided metric-based insight into its allostery upon peptide binding.

Indexed as

allosterydistributionnetworkrelative entropy

Identifiers

PMID31354173
PMCPMC6660174

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.