A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models (2018)
- Authors:
- USP affiliated authors: OLIVEIRA, PATRÍCIA RUFINO - EACH ; HONORIO, KÁTHIA MARIA - EACH ; SILVA, ALBÉRICO BORGES FERREIRA DA - IQSC
- Unidades: EACH; IQSC
- DOI: 10.1007/s11224-017-1072-2
- Subjects: MICROTÚBULOS; NEOPLASIAS; BIOLOGIA MOLECULAR
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Structural Chemistry: computational and experimental studies of chemical and biological systems
- ISSN: 1040-0400
- Volume/Número/Paginação/Ano: v. 29, p. 01-09, Feb. 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LIPINSKI, Célio Fernando et al. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models. Structural Chemistry: computational and experimental studies of chemical and biological systems, v. 29, p. 01-09, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11224-017-1072-2. Acesso em: 19 abr. 2024. -
APA
Lipinski, C. F., Oliveira, A. A., Honorio, K. M., Oliveira, P. R., & Silva, A. B. F. da. (2018). A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models. Structural Chemistry: computational and experimental studies of chemical and biological systems, 29, 01-09. doi:10.1007/s11224-017-1072-2 -
NLM
Lipinski CF, Oliveira AA, Honorio KM, Oliveira PR, Silva ABF da. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2018 ; 29 01-09.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s11224-017-1072-2 -
Vancouver
Lipinski CF, Oliveira AA, Honorio KM, Oliveira PR, Silva ABF da. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2018 ; 29 01-09.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/s11224-017-1072-2 - Machine learning techniques and drug design
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Informações sobre o DOI: 10.1007/s11224-017-1072-2 (Fonte: oaDOI API)
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