Yin Jian, Henriksen Niel M, Slochower David R, Gilson Michael K
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093-0736, USA.
J Comput Aided Mol Des. 2017 Jan;31(1):133-145. doi: 10.1007/s10822-016-9970-8. Epub 2016 Sep 16.
The absolute binding free energies and binding enthalpies of twelve host-guest systems in the SAMPL5 blind challenge were computed using our attach-pull-release (APR) approach. This method has previously shown good correlations between experimental and calculated binding data in retrospective studies of cucurbit[7]uril (CB7) and β-cyclodextrin (βCD) systems. In the present work, the computed binding free energies for host octa acid (OA or OAH) and tetra-endo-methyl octa-acid (TEMOA or OAMe) with guests are in good agreement with prospective experimental data, with a coefficient of determination (R) of 0.8 and root-mean-squared error of 1.7 kcal/mol using the TIP3P water model. The binding enthalpy calculations achieve moderate correlations, with R of 0.5 and RMSE of 2.5 kcal/mol, for TIP3P water. Calculations using the newly developed OPC water model also show good performance. Furthermore, the present calculations semi-quantitatively capture the experimental trend of enthalpy-entropy compensation observed, and successfully predict guests with the strongest and weakest binding affinity. The most populated binding poses of all twelve systems, based on clustering analysis of 750 ns molecular dynamics (MD) trajectories, were extracted and analyzed. Computational methods using MD simulations and explicit solvent models in a rigorous statistical thermodynamic framework, like APR, can generate reasonable predictions of binding thermodynamics. Especially with continuing improvement in simulation force fields, such methods hold the promise of making substantial contributions to hit identification and lead optimization in the drug discovery process.
使用我们的附着-拉动-释放(APR)方法计算了SAMPL5盲测挑战中12个主客体系统的绝对结合自由能和结合焓。在对葫芦[7]脲(CB7)和β-环糊精(βCD)系统的回顾性研究中,该方法先前已显示出实验和计算的结合数据之间具有良好的相关性。在本工作中,主体八酸(OA或OAH)和四内甲基八酸(TEMOA或OAMe)与客体的计算结合自由能与预期实验数据高度吻合,使用TIP3P水模型时,决定系数(R)为0.8,均方根误差为1.7 kcal/mol。对于TIP3P水,结合焓计算达到中等相关性,R为0.5,RMSE为2.5 kcal/mol。使用新开发的OPC水模型进行的计算也显示出良好的性能。此外,目前的计算半定量地捕捉到了观察到的焓-熵补偿的实验趋势,并成功预测了具有最强和最弱结合亲和力的客体。基于750 ns分子动力学(MD)轨迹的聚类分析,提取并分析了所有12个系统中占据最多的结合构象。在严格的统计热力学框架中,使用MD模拟和显式溶剂模型的计算方法,如APR,可以对结合热力学产生合理的预测。特别是随着模拟力场的不断改进,此类方法有望在药物发现过程中的命中物识别和先导化合物优化方面做出重大贡献。