ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packing.

Yan, Junyu; Li, Shuai; Zhang, Ying; Hao, Aimin; Zhao, Qinping

Yan, Junyu; Li, Shuai; Zhang, Ying; Hao, Aimin; Zhao, Qinping.

Yan J; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
Li S; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
Zhang Y; The Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China.
Hao A; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
Zhao Q; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.

Brief Bioinform ; 24(4)2023 07 20.

Article en En | MEDLINE | ID: mdl-37429578

Asunto(s)

Aprendizaje Profundo; Modelos Moleculares; Proteínas/química; Secuencia de Aminoácidos; Aminoácidos/química; Conformación Proteica

Palabras clave

Deep learning; Fixed-backbone design; High structural accuracy; Protein sequence design

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Año: 2023 Tipo del documento: Article

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Año: 2023 Tipo del documento: Article