Predicting residue-specific qualities of individual protein models using residual neural networks and graph neural networks.

Zhao, Chenguang; Liu, Tong; Wang, Zheng

Zhao, Chenguang; Liu, Tong; Wang, Zheng.

Afiliação

Zhao C; Department of Computer Science, University of Miami, Coral Gables, Florida, USA.
Liu T; Department of Computer Science, University of Miami, Coral Gables, Florida, USA.
Wang Z; Department of Computer Science, University of Miami, Coral Gables, Florida, USA.

Proteins ; 90(12): 2091-2102, 2022 12.

Article em En | MEDLINE | ID: mdl-35842895

Assuntos

Biologia Computacional; Proteínas; Biologia Computacional/métodos; Modelos Moleculares; Proteínas/química; Redes Neurais de Computação; Algoritmos; Conformação Proteica

Palavras-chave

CASP14 QA assessment; estimation of protein model accuracy; graph neural network; protein model quality assessment; protein structure prediction; quality assessment for AlphaFold2 models; residual neural networks

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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