Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset.

Pancotti, Corrado; Benevenuta, Silvia; Birolo, Giovanni; Alberini, Virginia; Repetto, Valeria; Sanavia, Tiziana; Capriotti, Emidio; Fariselli, Piero

Pancotti, Corrado; Benevenuta, Silvia; Birolo, Giovanni; Alberini, Virginia; Repetto, Valeria; Sanavia, Tiziana; Capriotti, Emidio; Fariselli, Piero.

Afiliação

Pancotti C; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Benevenuta S; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Birolo G; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Alberini V; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Repetto V; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Sanavia T; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.
Capriotti E; Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
Fariselli P; Department of Medical Sciences, University of Torino, Via Santena 19, 10126 Torino, Italy.

Brief Bioinform ; 23(2)2022 03 10.

Article em En | MEDLINE | ID: mdl-35021190

Assuntos

Mutação Puntual; Proteínas; Mutação; Estabilidade Proteica; Proteínas/química; Termodinâmica

Palavras-chave

antisymmetry; machine learning; protein stability; single-point mutation; stability change

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Proteínas / Mutação Puntual Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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