School of Science, Shandong Jiaotong University, Jinan, 250357, China.
School of Science, Shandong Jiaotong University, Jinan, 250357, China.
Comput Biol Med. 2021 Jul;134:104485. doi: 10.1016/j.compbiomed.2021.104485. Epub 2021 May 11.
The p38α MAP Kinase has been an important target of drug design for treatment of inflammatory diseases and cancers. This work applies multiple replica Gaussian accelerated molecular dynamics (MR-GaMD) simulations and the molecular mechanics generalized Born surface area (MM-GBSA) method to probe the binding mechanism of inhibitors L51, R24 and 1AU to p38α. Dynamics analyses show that inhibitor bindings exert significant effect on conformational changes of the active helix α2 and the conserved DFG loop. The rank of binding free energies calculated with MM-GBSA not only agrees well with that determined by the experimental IC50 values but also suggests that mutual compensation between the enthalpy and entropy changes can improve binding of inhibitors to p38α. The analyses of free energy landscapes indicate that the L51, R24 and 1AU bound p38α display a DFG-out conformation. The residue-based free energy decomposition method is used to evaluate contributions of separate residues to the inhibitor-p38α binding and the results imply that residues V30, V38, L74, L75, I84, T106, H107, L108, M109, L167, F169 and D168 can be utilized as efficient targets of potent inhibitors toward p38α.
p38α MAP 激酶一直是药物设计治疗炎症性疾病和癌症的重要靶点。这项工作应用了多副本高斯加速分子动力学(MR-GaMD)模拟和分子力学广义 Born 表面积(MM-GBSA)方法,研究了抑制剂 L51、R24 和 1AU 与 p38α 的结合机制。动力学分析表明,抑制剂的结合对活性螺旋 α2 和保守的 DFG 环的构象变化有显著影响。用 MM-GBSA 计算的结合自由能的排序不仅与实验 IC50 值确定的排序非常吻合,而且表明焓和熵变化之间的相互补偿可以提高抑制剂与 p38α 的结合。自由能景观分析表明,L51、R24 和 1AU 结合的 p38α 呈现 DFG-out 构象。基于残基的自由能分解方法用于评估单独残基对抑制剂-p38α 结合的贡献,结果表明,V30、V38、L74、L75、I84、T106、H107、L108、M109、L167、F169 和 D168 残基可作为针对 p38α 的有效抑制剂的潜在靶点。