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Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis.
Zhou, Hongyu; Dong, Zheng; Verkhivker, Gennady; Zoltowski, Brian D; Tao, Peng.
Afiliação
  • Zhou H; Department of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.
  • Dong Z; Department of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.
  • Verkhivker G; Graduate Program in Computational and Data Sciences, Schmid College of Science and Technology, Chapman University, Orange, California, United States of America.
  • Zoltowski BD; Chapman University School of Pharmacy, Irvine, California, United States of America.
  • Tao P; Department of Chemistry, Center for Scientific Computation, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, United States of America.
PLoS Comput Biol ; 15(2): e1006801, 2019 02.
Article em En | MEDLINE | ID: mdl-30779735
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/Aß 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.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Proteínas Fúngicas / Biologia Computacional / Regulação Alostérica Tipo de estudo: Health_economic_evaluation Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Proteínas Fúngicas / Biologia Computacional / Regulação Alostérica Tipo de estudo: Health_economic_evaluation Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos