Discriminations of active from inactive HDAC8 inhibitors Part II: Bayesian classification study to find molecular fingerprints.

Amin, S A; Banerjee, S; Adhikari, N; Jha, T

Amin, S A; Banerjee, S; Adhikari, N; Jha, T.

Afiliação

Amin SA; Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.
Banerjee S; Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.
Adhikari N; Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.
Jha T; Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.

SAR QSAR Environ Res ; 31(4): 245-260, 2020 Apr.

Article em En | MEDLINE | ID: mdl-32073312

Assuntos

Inibidores de Histona Desacetilases/química; Mapeamento de Nucleotídeos/instrumentação; Teorema de Bayes; Relação Quantitativa Estrutura-Atividade

Palavras-chave

Cancer; ECFP_6; HDAC8 inhibitor; QSAR; molecular fingerprints; naïve Bayes classification model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento de Nucleotídeos / Inibidores de Histona Desacetilases Tipo de estudo: Prognostic_studies Idioma: En Revista: SAR QSAR Environ Res Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Índia

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