Deep generative model for therapeutic targets using transcriptomic disease-associated data-USP7 case study.

Pereira, Tiago; Abbasi, Maryam; Oliveira, Rita I; Guedes, Romina A; Salvador, Jorge A R; Arrais, Joel P

Pereira, Tiago; Abbasi, Maryam; Oliveira, Rita I; Guedes, Romina A; Salvador, Jorge A R; Arrais, Joel P.

Afiliação

Pereira T; Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Univ Coimbra, Coimbra, Portugal.
Abbasi M; Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Univ Coimbra, Coimbra, Portugal.
Oliveira RI; Laboratory of Pharmaceutical Chemistry Faculty of Pharmacy, Univ Coimbra, Coimbra, Portugal.
Guedes RA; Center for Neuroscience and Cell Biology Center for Innovative Biomedicine and Biotechnology, Univ Coimbra, Coimbra, Portugal.
Salvador JAR; Laboratory of Pharmaceutical Chemistry Faculty of Pharmacy, Univ Coimbra, Coimbra, Portugal.
Arrais JP; Center for Neuroscience and Cell Biology Center for Innovative Biomedicine and Biotechnology, Univ Coimbra, Coimbra, Portugal.

Brief Bioinform ; 23(4)2022 07 18.

Article em En | MEDLINE | ID: mdl-35789255

Assuntos

Desenho de Fármacos; Transcriptoma; Peptidase 7 Específica de Ubiquitina

Palavras-chave

cancer; deep learning; drug design; transcriptome

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Transcriptoma Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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