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

Autor: Liu Y; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China., Tong JB; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China., Gao P; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China., Fan XL; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China., Xiao XC; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China., Xing YC; College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, China.; Shaanxi Key Laboratory of Chemical Additives for Industry, Shaanxi University of Science and Technology, Xi'an, China.
Jazyk: angličtina
Zdroj: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2024 Jan 03, pp. 1-17. Date of Electronic Publication: 2024 Jan 03.
DOI: 10.1080/07391102.2023.2301055
Abstrakt: 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 ( q 2 = 0.715, r 2 = 0.984) and the Holographic Quantitative Structure-Activity Relationship (HQSAR) model ( q 2 = 0.707, r 2 = 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.Communicated by Ramaswamy H. Sarma.
Databáze: MEDLINE