From chemoinformatics to deep learning: an open road to drug discovery. [Editorial] (2019)
Source: Future Medicinal Chemistry. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, PLANEJAMENTO DE FÁRMACOS, INTELIGÊNCIA ARTIFICIAL
ABNT
FERREIRA, Leonardo G. e ANDRICOPULO, Adriano Defini. From chemoinformatics to deep learning: an open road to drug discovery. [Editorial]. Future Medicinal Chemistry. London: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.4155/fmc-2018-0449. Acesso em: 02 maio 2024. , 2019APA
Ferreira, L. G., & Andricopulo, A. D. (2019). From chemoinformatics to deep learning: an open road to drug discovery. [Editorial]. Future Medicinal Chemistry. London: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.4155/fmc-2018-0449NLM
Ferreira LG, Andricopulo AD. From chemoinformatics to deep learning: an open road to drug discovery. [Editorial] [Internet]. Future Medicinal Chemistry. 2019 ; 11( 5): 371-374.[citado 2024 maio 02 ] Available from: https://doi.org/10.4155/fmc-2018-0449Vancouver
Ferreira LG, Andricopulo AD. From chemoinformatics to deep learning: an open road to drug discovery. [Editorial] [Internet]. Future Medicinal Chemistry. 2019 ; 11( 5): 371-374.[citado 2024 maio 02 ] Available from: https://doi.org/10.4155/fmc-2018-0449