CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.

Peng, Zhenling; Li, Zixia; Meng, Qiaozhen; Zhao, Bi; Kurgan, Lukasz

Peng, Zhenling; Li, Zixia; Meng, Qiaozhen; Zhao, Bi; Kurgan, Lukasz.

Afiliación

Peng Z; Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
Li Z; Frontier Science Center for Nonlinear Expectations, Ministry of Education, Qingdao, 266237, China.
Meng Q; Center for Applied Mathematics, Tianjin University, Tianjin, 300072, China.
Zhao B; College of Intelligence and Computing, Tianjin University, Tianjin, 300072, China.
Kurgan L; Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA.

Brief Bioinform ; 24(1)2023 01 19.

Article en En | MEDLINE | ID: mdl-36458437

Asunto(s)

Proteínas Intrínsecamente Desordenadas; Proteínas Intrínsecamente Desordenadas/química; Biología Computacional/métodos; Secuencia de Aminoácidos; Péptidos/metabolismo; Dominios Proteicos; Bases de Datos de Proteínas; Unión Proteica

Palabras clave

intrinsic disorder; linear interacting peptides; molecular recognition features; protein function; proteinnucleic acids interactions; proteinprotein interactions

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas Intrínsecamente Desordenadas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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