Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade (2021)
- Authors:
- Serafim, Mateus Sá Magalhães - Universidade Federal de Minas Gerais (UFMG)
- Júnior, Valtair Severino dos Santos - Universidade Federal de Minas Gerais (UFMG)
- Gertrudes, Jadson Castro - Universidade Federal de Ouro Preto (UFOP)
- Maltarollo, Vinícius Gonçalves - Universidade Federal de Minas Gerais (UFMG)
- Honorio, Kathia Maria
- Autor USP: HONORIO, KÁTHIA MARIA - EACH
- Unidade: EACH
- DOI: 10.1080/17460441.2021.1918098
- Subjects: ANTIVIRAIS; PLANEJAMENTO DE FÁRMACOS; COMPUTAÇÃO APLICADA
- Language: Inglês
- Imprenta:
- Publisher place: United Kingdom
- Date published: 2021
- Source:
- Título do periódico: EXPERT OPINION ON DRUG DISCOVERY
- ISSN: 1746-0441
- Volume/Número/Paginação/Ano: v. 16, n. 9, p. 961-975, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SERAFIM, Mateus Sá Magalhães et al. Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade. EXPERT OPINION ON DRUG DISCOVERY, v. 16, n. 9, p. 961-975, 2021Tradução . . Disponível em: https://doi.org/10.1080/17460441.2021.1918098. Acesso em: 17 abr. 2024. -
APA
Serafim, M. S. M., Júnior, V. S. dos S., Gertrudes, J. C., Maltarollo, V. G., & Honorio, K. M. (2021). Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade. EXPERT OPINION ON DRUG DISCOVERY, 16( 9), 961-975. doi:10.1080/17460441.2021.1918098 -
NLM
Serafim MSM, Júnior VS dos S, Gertrudes JC, Maltarollo VG, Honorio KM. Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade [Internet]. EXPERT OPINION ON DRUG DISCOVERY. 2021 ; 16( 9): 961-975.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1080/17460441.2021.1918098 -
Vancouver
Serafim MSM, Júnior VS dos S, Gertrudes JC, Maltarollo VG, Honorio KM. Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade [Internet]. EXPERT OPINION ON DRUG DISCOVERY. 2021 ; 16( 9): 961-975.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1080/17460441.2021.1918098 - Medicinal electrochemistry: integration of electrochemistry, medicinal chemistry and computational chemistry
- Theoretical calculation and structural studies for a new nitrogen derivative from nor-lapachol
- Computational studies of TGF-ßRI (ALK-5) inhibitors: analysis of the binding interactions between ligand–receptor using 2D and 3D techniques
- Molecular features related to the binding mode of PPARδ agonists from QSAR and docking analyses
- Química medicinal computacional: diferente abordagem na descoberta de candidatos a fármacos
- Study on molecular structure, spectroscopic properties (FTIR and UV–Vis), NBO, QTAIM, HOMO-LUMO energies and docking studies of 5-fluorouracil, a substance used to treat cancer
- Quantum-chemistry descriptors for photosensitizers based on macrocycles
- Studies on the dual activity of EGFR and HER-2 inhibitors using structure-based drug design techniques
- Study of the CuII Affinity by Three Chelating Agents of Biological Interest: TPEN, TRIEN and Et2DTC
- The importance of good practices and false hits for QSAR-driven virtual screening real application: a SARS-CoV-2 main protease (Mpro) case study
Informações sobre o DOI: 10.1080/17460441.2021.1918098 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas