MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking Conformations.

Jung, Yong; Geng, Cunliang; Bonvin, Alexandre M J J; Xue, Li C; Honavar, Vasant G

Jung, Yong; Geng, Cunliang; Bonvin, Alexandre M J J; Xue, Li C; Honavar, Vasant G.

Afiliación

Jung Y; Bioinformatics & Genomics Graduate Program, Pennsylvania State University, University Park, PA 16802, USA.
Geng C; Artificial Intelligence Research Laboratory, Pennsylvania State University, University Park, PA 16802, USA.
Bonvin AMJJ; Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA.
Xue LC; Bijvoet Centre for Biomolecular Research, Faculty of Science-Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
Honavar VG; Bijvoet Centre for Biomolecular Research, Faculty of Science-Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.

Biomolecules ; 13(1)2023 01 06.

Article en En | MEDLINE | ID: mdl-36671507

Asunto(s)

Aprendizaje Automático; Proteínas; Proteínas/química; Unión Proteica; Ligandos; Conformación Proteica

Palabras clave

machine learning; method combination; proteinprotein docking; scoring functions

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomolecules Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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