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Deep Learning-driven research for drug discovery: Tackling Malaria.
Neves, Bruno J; Braga, Rodolpho C; Alves, Vinicius M; Lima, Marília N N; Cassiano, Gustavo C; Muratov, Eugene N; Costa, Fabio T M; Andrade, Carolina Horta.
Afiliación
  • Neves BJ; Laboratory of Cheminformatics, University Center of Anápolis - UniEVANGÉLICA, Anápolis, Goiás, Brazil.
  • Braga RC; LabMol - Laboratory for Molecular Modeling and Drug Design, Faculty of Pharmacy, Federal University of Goiás, Goiânia, Goiás, Brazil.
  • Alves VM; InsilicAll, São Paulo, São Paulo, Brazil.
  • Lima MNN; LabMol - Laboratory for Molecular Modeling and Drug Design, Faculty of Pharmacy, Federal University of Goiás, Goiânia, Goiás, Brazil.
  • Cassiano GC; Laboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Muratov EN; LabMol - Laboratory for Molecular Modeling and Drug Design, Faculty of Pharmacy, Federal University of Goiás, Goiânia, Goiás, Brazil.
  • Costa FTM; Laboratory of Tropical Diseases-Prof. Dr. Luiz Jacintho da Silva, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.
  • Andrade CH; Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical (IHMT), Universidade Nova de Lisboa (UNL), Lisboa, Portugal.
PLoS Comput Biol ; 16(2): e1007025, 2020 02.
Article en En | MEDLINE | ID: mdl-32069285
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Descubrimiento de Drogas / Aprendizaje Profundo / Malaria / Antimaláricos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Brasil
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Descubrimiento de Drogas / Aprendizaje Profundo / Malaria / Antimaláricos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Brasil