Evidence map›Paper›PMID 30779735›Full record

ArticlePLoS computational biology2019

Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis.

Hongyu Zhou, Zheng Dong, Gennady Verkhivker, Brian D Zoltowski, Peng Tao

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Machine learning and protein allostery.Trends in biochemical sciences · 2023
    Review
  7. Review
  8. Review
  9. Article
  10. Dynamics of hydrogen bonds in the secondary structures of allosteric proteinComputational and structural biotechnology journal · 2022
    Article
  11. Article
  12. Article
  13. ivis Dimensionality Reduction Framework for Biomacromolecular Simulations.Journal of chemical information and modeling · 2020
    Article
  14. Deciphering the Allosteric Process of theThe journal of physical chemistry. B · 2020
    Article
  15. Article
  16. Review
  17. Directed kinetic transition network model.The Journal of chemical physics · 2019
    Article
  18. 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

5 authors.

Hongyu ZhouDepartment of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.
Zheng DongDepartment of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.
Gennady VerkhivkerGraduate Program in Computational and Data Sciences, Schmid College of Science and Technology, Chapman University, Orange, California, United States of America.ORCID 0000-0002-4507-4471
Brian D ZoltowskiDepartment of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.ORCID 0000-0001-6749-0743
Peng TaoDepartment of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.ORCID 0000-0002-2488-0239

Funding

Structural Flexibility Mediates Circadian Adaptation in Diverse OrganismsR15GM109282 · NIGMS · SOUTHERN METHODIST UNIVERSITY · PI ZOLTOWSKI, BRIAN DAVID · 2014 to 2021
$1.2M
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 GM109282NIGMS NIH HHS R15 GM122013
6 · The paper itself

Abstract

The fungal circadian clock photoreceptor Vivid (VVD) contains a photosensitive allosteric light, oxygen, voltage (LOV) domain that undergoes a large N-terminal conformational change. The mechanism by which a blue-light driven covalent bond formation leads to a global conformational change remains unclear, which hinders the further development of VVD as an optogenetic tool. We answered this question through a novel computational platform integrating Markov state models, machine learning methods, and newly developed community analysis algorithms. Applying this new integrative approach, we provided a quantitative evaluation of the contribution from the covalent bond to the protein global conformational change, and proposed an atomistic allosteric mechanism leading to the discovery of the unexpected importance of A'α/Aβ and previously overlooked Eα/Fα loops in the conformational change. This approach could be applicable to other allosteric proteins in general to provide interpretable atomistic representations of their otherwise elusive allosteric mechanisms.

Indexed as

Allosteric RegulationAllosteric SiteComputational BiologyFungal ProteinsMachine LearningMarkov ChainsMolecular Dynamics SimulationOptogeneticsProtein ConformationFungal ProteinsVVD protein, Neurospora crassa

Identifiers

PMID30779735
PMCPMC6396943

What OpenQuestion holds

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LicenceCC BY
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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.