Machine learning techniques and drug design (2012)
- Autores:
- Autores USP: SILVA, ALBÉRICO BORGES FERREIRA DA - IQSC ; OLIVEIRA, PATRÍCIA RUFINO - EACH ; HONORIO, KÁTHIA MARIA - EACH
- Unidades: IQSC; EACH
- Assunto: ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA)
- Idioma: Inglês
- Imprenta:
- Fonte:
- Título do periódico: Current Medicinal Chemistry
- ISSN: 0929-8673
- Volume/Número/Paginação/Ano: v. 19, n. 25, p. 4289-4297, 2012
-
ABNT
GERTRUDES, J. C et al. Machine learning techniques and drug design. Current Medicinal Chemistry, v. 19, n. 25, p. 4289-4297, 2012Tradução . . Disponível em: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007. Acesso em: 24 abr. 2024. -
APA
Gertrudes, J. C., Maltarollo, V. G., Silva, R. A., Oliveira, P. R., Honório, K. M., & Silva, A. B. F. da. (2012). Machine learning techniques and drug design. Current Medicinal Chemistry, 19( 25), 4289-4297. Recuperado de http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007 -
NLM
Gertrudes JC, Maltarollo VG, Silva RA, Oliveira PR, Honório KM, Silva ABF da. Machine learning techniques and drug design [Internet]. Current Medicinal Chemistry. 2012 ; 19( 25): 4289-4297.[citado 2024 abr. 24 ] Available from: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007 -
Vancouver
Gertrudes JC, Maltarollo VG, Silva RA, Oliveira PR, Honório KM, Silva ABF da. Machine learning techniques and drug design [Internet]. Current Medicinal Chemistry. 2012 ; 19( 25): 4289-4297.[citado 2024 abr. 24 ] Available from: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007 - A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models
- Advances with support vector machines for novel drug discovery
- Knowing and combating the enemy: a brief review on SARS-CoV-2 and computational approaches applied to the discovery of drug candidates
- Applying machine learning techniques for ADME-Tox prediction: a review
- New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists
- Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor
- The use of classification methods for modeling the antioxidant activity of flavonoid compounds
- Photophysical properties and quantum chemical studies of poly(2,7-9,9'-dihexyfluorene-dyil)
- A multivariate study on flavonoid compounds scavenging the peroxynitrite free radical
- Forças intermoleculares e a interação fármaco-receptor
Como citar
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas