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分子动力学探究双重抑制剂 5M7、65X 和 65Z 对脂肪酸结合蛋白 4 和 5 的选择性。

Molecular Dynamics Exploration of Selectivity of Dual Inhibitors 5M7, 65X, and 65Z toward Fatty Acid Binding Proteins 4 and 5.

机构信息

School of Physics and Electronics, Shandong Normal University, Jinan 250358, China.

School of Science, Shandong Jiaotong University, Jinan 250357, China.

出版信息

Int J Mol Sci. 2018 Aug 23;19(9):2496. doi: 10.3390/ijms19092496.

Abstract

Designing highly selective inhibitors of fatty acid binding proteins 4 and 5 (FABP4 and FABP5) is of importance for treatment of some diseases related with inflammation, metabolism, and tumor growth. In this study, molecular dynamics (MD) simulations combined with molecular mechanics generalized Born surface area (MM-GBSA) method were performed to probe binding selectivity of three inhibitors (5M7, 65X, and 65Z) to FABP4/FABP5 with values of 0.022/0.50 μM, 0.011/0.086 μM, and 0.016/0.12 μM, respectively. The results not only suggest that all inhibitors associate more tightly with FABP4 than FABP5, but also prove that the main forces driving the selective bindings of inhibitors to FABP4 and FABP5 stem from the difference in the van der Waals interactions and polar interactions of inhibitors with two proteins. Meanwhile, a residue-based free energy decomposition method was applied to reveal molecular basis that inhibitors selectively interact with individual residues of two different proteins. The calculated results show that the binding difference of inhibitors to the residues (Phe16, Phe19), (Ala33, Gly36), (Phe57, Leu60), (Ala75, Ala78), (Arg126, Arg129), and (Tyr128, Tyr131) in (FABP4, FABP5) drive the selectivity of inhibitors toward FABP4 and FABP5. This study will provide great help for further design of effective drugs to protect against a series of metabolic diseases, arteriosclerosis, and inflammation.

摘要

设计对脂肪酸结合蛋白 4 和 5(FABP4 和 FABP5)具有高选择性的抑制剂对于治疗与炎症、代谢和肿瘤生长有关的一些疾病具有重要意义。在这项研究中,采用分子动力学(MD)模拟结合分子力学广义 Born 表面面积(MM-GBSA)方法,探究了三种抑制剂(5M7、65X 和 65Z)与 FABP4/FABP5 的结合选择性,其 IC50 值分别为 0.022/0.50 μM、0.011/0.086 μM 和 0.016/0.12 μM。结果不仅表明所有抑制剂与 FABP4 的结合都比 FABP5 更紧密,还证明了驱动抑制剂对 FABP4 和 FABP5 选择性结合的主要力源自抑制剂与两种蛋白质的范德华相互作用和极性相互作用的差异。同时,应用基于残基的自由能分解方法揭示了抑制剂与两种不同蛋白质的单个残基选择性相互作用的分子基础。计算结果表明,抑制剂与残基(Phe16、Phe19)、(Ala33、Gly36)、(Phe57、Leu60)、(Ala75、Ala78)、(Arg126、Arg129)和(Tyr128、Tyr131)之间的结合差异驱动了抑制剂对 FABP4 和 FABP5 的选择性。这项研究将为进一步设计有效药物以预防一系列代谢疾病、动脉硬化和炎症提供重要帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/483a/6164837/901276cb37a5/ijms-19-02496-g001.jpg

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