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Computer-Aided Drug Design Boosts RAS Inhibitor Discovery.
Wang, Ge; Bai, Yuhao; Cui, Jiarui; Zong, Zirui; Gao, Yuan; Zheng, Zhen.
Afiliação
  • Wang G; Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Bai Y; College of Stomatology, Shanghai Jiao Tong University, Shanghai 200120, China.
  • Cui J; Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Zong Z; College of Stomatology, Shanghai Jiao Tong University, Shanghai 200120, China.
  • Gao Y; Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Zheng Z; College of Stomatology, Shanghai Jiao Tong University, Shanghai 200120, China.
Molecules ; 27(17)2022 Sep 05.
Article em En | MEDLINE | ID: mdl-36080477
ABSTRACT
The Rat Sarcoma (RAS) family (NRAS, HRAS, and KRAS) is endowed with GTPase activity to regulate various signaling pathways in ubiquitous animal cells. As proto-oncogenes, RAS mutations can maintain activation, leading to the growth and proliferation of abnormal cells and the development of a variety of human cancers. For the fight against tumors, the discovery of RAS-targeted drugs is of high significance. On the one hand, the structural properties of the RAS protein make it difficult to find inhibitors specifically targeted to it. On the other hand, targeting other molecules in the RAS signaling pathway often leads to severe tissue toxicities due to the lack of disease specificity. However, computer-aided drug design (CADD) can help solve the above problems. As an interdisciplinary approach that combines computational biology with medicinal chemistry, CADD has brought a variety of advances and numerous benefits to drug design, such as the rapid identification of new targets and discovery of new drugs. Based on an overview of RAS features and the history of inhibitor discovery, this review provides insight into the application of mainstream CADD methods to RAS drug design.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho Assistido por Computador / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho Assistido por Computador / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China