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How fast fast-folding proteins fold in silico.
Pang, Yuan-Ping.
Afiliación
  • Pang YP; Computer-Aided Molecular Design Laboratory, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: pang@mayo.edu.
Biochem Biophys Res Commun ; 492(1): 135-139, 2017 10 07.
Article en En | MEDLINE | ID: mdl-28802577
ABSTRACT
In reported microcanonical molecular dynamics simulations, fast-folding proteins CLN025 and Trp-cage autonomously folded to experimentally determined native conformations. However, the folding times of these proteins derived from the simulations were more than 4-10 times longer than their experimental values. This article reports autonomous folding of CLN025 and Trp-cage in isobaric-isothermal molecular dynamics simulations with agreements within factors of 0.69-1.75 between simulated and experimental folding times at different temperatures. These results show that CLN025 and Trp-cage can now autonomously fold in silico as fast as in experiments, and suggest that the accuracy of folding simulations for fast-folding proteins begins to overlap with the accuracy of folding experiments. This opens new prospects of developing computer algorithms that can predict both ensembles of conformations and their interconversion rates for a protein from its sequence for artificial intelligence on how and when a protein acts as a receiver, switch, and relay to facilitate various subcellular-to-tissue communications. Then the genetic information that encodes proteins can be better read in the context of intricate biological functions.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Simulación por Computador / Pliegue de Proteína / Simulación de Dinámica Molecular Tipo de estudio: Prognostic_studies Idioma: En Revista: Biochem Biophys Res Commun Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Simulación por Computador / Pliegue de Proteína / Simulación de Dinámica Molecular Tipo de estudio: Prognostic_studies Idioma: En Revista: Biochem Biophys Res Commun Año: 2017 Tipo del documento: Article