The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] (2022)
- Authors:
- Autor USP: SILVA, THEREZA AMÉLIA SOARES DA - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1021/acs.jcim.2c01422
- Subjects: APRENDIZADO COMPUTACIONAL; MODELOS MATEMÁTICOS; ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2022
- Source:
- Título do periódico: Journal of Chemical Information and Modeling
- ISSN: 1549-9596
- Volume/Número/Paginação/Ano: v. 62, n. 22, p. 5317-5320, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
SOARES, Thereza A. et al. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01422. Acesso em: 07 jun. 2024. , 2022 -
APA
Soares, T. A., Alves, A. F. N., Mazzolari, A., Ruggiu, F., Wei, G. -W., & Merz, K. (2022). The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01422 -
NLM
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422 -
Vancouver
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422 - Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism
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Informações sobre o DOI: 10.1021/acs.jcim.2c01422 (Fonte: oaDOI API)
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