De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update.

Lin, Eugene; Lin, Chieh-Hsin; Lane, Hsien-Yuan

Lin, Eugene; Lin, Chieh-Hsin; Lane, Hsien-Yuan.

Afiliación

Lin E; Department of Biostatistics, University of Washington, Seattle, Washington 98195, United States.
Lin CH; Department of Electrical & Computer Engineering, University of Washington, Seattle, Washington 98195, United States.
Lane HY; Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.

J Chem Inf Model ; 62(4): 761-774, 2022 02 28.

Article en En | MEDLINE | ID: mdl-35128926

Asunto(s)

Inteligencia Artificial; Redes Neurales de la Computación; Aprendizaje Automático; Péptidos; Proteínas

Palabras clave

artificial intelligence; computer-aided drug design and discovery; de novo peptide design; de novo protein design; deep artificial neural networks; deep learning; generative adversarial networks; generative chemistry; generative methods; machine learning

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Texto completo: 1 Colección: 01-internacional Asunto principal: Inteligencia Artificial / Redes Neurales de la Computación Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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