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AlphaFold2 Can Predict Single-Mutation Effects.
McBride, John M; Polev, Konstantin; Abdirasulov, Amirbek; Reinharz, Vladimir; Grzybowski, Bartosz A; Tlusty, Tsvi.
Afiliación
  • McBride JM; Center for Soft and Living Matter, Institute for Basic Science, Ulsan 44919, South Korea.
  • Polev K; Center for Soft and Living Matter, Institute for Basic Science, Ulsan 44919, South Korea.
  • Abdirasulov A; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.
  • Reinharz V; Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.
  • Grzybowski BA; Université du Québec à Montréal, Montréal, Quebec H3C 3J7, Canada.
  • Tlusty T; Center for Soft and Living Matter, Institute for Basic Science, Ulsan 44919, South Korea.
Phys Rev Lett ; 131(21): 218401, 2023 Nov 24.
Article en En | MEDLINE | ID: mdl-38072605
AlphaFold2 (AF) is a promising tool, but is it accurate enough to predict single mutation effects? Here, we report that the localized structural deformation between protein pairs differing by only 1-3 mutations-as measured by the effective strain-is correlated across 3901 experimental and AF-predicted structures. Furthermore, analysis of ∼11 000 proteins shows that the local structural change correlates with various phenotypic changes. These findings suggest that AF can predict the range and magnitude of single-mutation effects on average, and we propose a method to improve precision of AF predictions and to indicate when predictions are unreliable.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Mutación Idioma: En Revista: Phys Rev Lett Año: 2023 Tipo del documento: Article País de afiliación: Corea del Sur

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Mutación Idioma: En Revista: Phys Rev Lett Año: 2023 Tipo del documento: Article País de afiliación: Corea del Sur