Combining QSAR techniques, molecular docking, and molecular dynamics simulations to explore anti-tumor inhibitors targeting Focal Adhesion Kinase

数量结构-活动关系 对接(动物) 分子动力学 化学 焦点粘着 嘧啶 分子模型 计算生物学 合理设计 蛋白激酶结构域 立体化学 生物化学 组合化学 信号转导 生物 纳米技术 计算化学 材料科学 医学 护理部 基因 突变体
作者
Yuan Liu,Jianbo Tong,Peng Gao,Xuanlu Fan,Xuechun Xiao,Y. XING
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:: 1-17
标识
DOI:10.1080/07391102.2023.2301055
摘要

Focal Adhesion Kinase (FAK) is an important target for tumor therapy and is closely related to tumor cell genesis and progression. In this paper, we selected 46 FAK inhibitors with anticancer activity in the pyrrolo pyrimidine backbone to establish 3D/2D-QSAR models to explore the relationship between inhibitory activity and molecular structure. We have established two ideal models, namely, the Topomer CoMFA model (q2= 0.715, r2= 0.984) and the Holographic Quantitative Structure-Activity Relationship (HQSAR) model (q2= 0.707, r2= 0.899). Both models demonstrate excellent external prediction capabilities.Based on the QSAR results, we designed 20 structurally modified novel compounds, which were subjected to molecular docking and molecular dynamics studies, and the results showed that the new compounds formed many robust interactions with residues within the active pocket and could maintain stable binding to the receptor proteins. This study not only provides a powerful screening tool for designing novel FAK inhibitors, but also presents a series of novel FAK inhibitors with high micromolar activity that can be used for further characterization. It provides a reference for addressing the shortcomings of drug metabolism and drug resistance of traditional FAK inhibitors, as well as the development of novel clinically applicable FAK inhibitors.
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