Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
PLoS One. 2024 Sep 19;19(9):e0309996. doi: 10.1371/journal.pone.0309996. eCollection 2024.
In order for computer-aided drug design to fulfil its long held promise of delivering new medicines faster and cheaper, extensive development and validation work must be done first. This pertains particularly to molecular dynamics force fields where one important aspect-the hydration free energy (HFE) of small molecules-is often insufficiently analyzed. While most benchmarking studies report excellent accuracies of calculated hydration free energies-usually within 2 kcal/mol of experimental values-we find that deeper analysis reveals significant shortcomings. Herein, we report a dependence of HFE prediction errors on ligand molecular weight-the higher the weight, the bigger the prediction error and the higher the probability the calculated result is erroneous by a large amount. We show that in the drug-like molecular weight region, HFE predictions can easily be off by 5 kcal/mol or more. This is likely to be highly problematic in a drug discovery and development setting. We make our HFE results and molecular descriptors freely and fully available in order to encourage deeper analysis of future molecular dynamics results and facilitate development of the next generation of force fields.
为了使计算机辅助药物设计能够实现更快、更廉价地提供新药的长期承诺,首先必须进行广泛的开发和验证工作。这尤其适用于分子动力学力场,其中一个重要方面——小分子的水合自由能(HFE)——通常分析不足。虽然大多数基准测试研究报告了计算水合自由能的出色准确性——通常与实验值相差 2 千卡/摩尔以内——但我们发现更深入的分析揭示了明显的缺陷。在这里,我们报告了 HFE 预测误差对配体分子量的依赖性——分子量越高,预测误差越大,计算结果出错的概率越大。我们表明,在类似药物的分子量区域,HFE 预测很容易出现 5 千卡/摩尔或更多的偏差。这在药物发现和开发环境中可能是一个高度的问题。我们免费提供 HFE 结果和分子描述符,以鼓励对未来分子动力学结果进行更深入的分析,并促进下一代力场的发展。