<i>In silico</i> approaches for the identification of novel ULK1 inhibitors: pharmacophore model, molecular docking and molecular dynamics simulations.

Yang, Yifan; Ji, Cuicui; Zhong, Qidi; Yan, Hong; Wang, Juan

In silico approaches for the identification of novel ULK1 inhibitors: pharmacophore model, molecular docking and molecular dynamics simulations.

Yang, Yifan; Ji, Cuicui; Zhong, Qidi; Yan, Hong; Wang, Juan.

Afiliação

Yang Y; Faculty of Environment and Life, Beijing University of Technology, Beijing, P. R. China.
Ji C; Faculty of Environment and Life, Beijing University of Technology, Beijing, P. R. China.
Zhong Q; School of Pharmacy, North China University of Science and Technology, Tangshan, P. R. China.
Yan H; Faculty of Environment and Life, Beijing University of Technology, Beijing, P. R. China.
Wang J; Faculty of Environment and Life, Beijing University of Technology, Beijing, P. R. China.

J Biomol Struct Dyn ; : 1-14, 2023 Oct 30.

Article em En | MEDLINE | ID: mdl-37904331

Palavras-chave

ULK1 inhibitors; aminopyrimidine derivatives; molecular docking; molecular dynamics simulations; pharmacophore model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article