Fast and accurate protein intrinsic disorder prediction by using a pretrained language model.

Song, Yidong; Yuan, Qianmu; Chen, Sheng; Chen, Ken; Zhou, Yaoqi; Yang, Yuedong

Song, Yidong; Yuan, Qianmu; Chen, Sheng; Chen, Ken; Zhou, Yaoqi; Yang, Yuedong.

Afiliación

Song Y; School of Computer Science and Engineering at Sun Yat-sen University, Guangzhou 510000, China.
Yuan Q; School of Computer Science and Engineering at Sun Yat-sen University, Guangzhou 510000, China.
Chen S; School of Computer Science and Engineering at Sun Yat-sen University, Guangzhou 510000, China.
Chen K; School of Computer Science and Engineering at Sun Yat-sen University, Guangzhou 510000, China.
Zhou Y; Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, China.
Yang Y; School of Computer Science and Engineering at Sun Yat-sen University, Guangzhou 510000, China.

Brief Bioinform ; 24(4)2023 07 20.

Article en En | MEDLINE | ID: mdl-37204193

Asunto(s)

Proteoma; Programas Informáticos; Humanos; Secuencia de Aminoácidos; Evolución Biológica

Palabras clave

pretrained language model; protein intrinsic disorder prediction; sequence-based

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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