Li Zhe, Jiang Mei-Yan, Liu Runduo, Wang Quan, Zhou Qian, Huang Yi-You, Wu Yinuo, Zhan Chang-Guo, Luo Hai-Bin
State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou 570228, China.
Acta Pharm Sin B. 2024 Dec;14(12):5357-5369. doi: 10.1016/j.apsb.2024.06.021. Epub 2024 Jun 28.
Accurate receptor/ligand binding free energy calculations can greatly accelerate drug discovery by identifying highly potent ligands. By simulating the change from one compound structure to another, the relative binding free energy (RBFE) change can be calculated based on the theoretically rigorous free energy perturbation (FEP) method. However, existing FEP-RBFE approaches may face convergence challenges due to difficulties in simulating non-physical intermediate states, which can lead to increased computational costs to obtain the converged results. To fundamentally overcome these issues and accelerate drug discovery, a new combined-structure RBFE (CS-FEP) calculation strategy was proposed, which solved the existing issues by constructing a new alchemical pathway, smoothed the alchemical transformation, increased the phase-space overlap between adjacent states, and thus significantly increased the convergence and accelerated the relative binding free energy calculations. This method was extensively tested in a practical drug discovery effort by targeting phosphodiesterase-1 (PDE1). Starting from a PDE1 inhibitor (compound , IC = 16.8 μmol/L), the CS-FEP guided hit-to-lead optimizations resulted in a promising lead ( and its mesylate salt formulation -Mesylate, IC = 7.0 nmol/L), with ∼2400-fold improved inhibitory activity. Further experimental studies revealed that the lead showed reasonable metabolic stability and significant anti-fibrotic effects .
准确的受体/配体结合自由能计算可通过识别高效配体极大地加速药物发现。通过模拟从一种化合物结构到另一种化合物结构的变化,可以基于理论上严格的自由能微扰(FEP)方法计算相对结合自由能(RBFE)变化。然而,由于模拟非物理中间态存在困难,现有的FEP-RBFE方法可能面临收敛挑战,这可能导致为获得收敛结果而增加计算成本。为了从根本上克服这些问题并加速药物发现,提出了一种新的组合结构RBFE(CS-FEP)计算策略,该策略通过构建新的炼金术途径解决了现有问题,平滑了炼金术转化,增加了相邻状态之间的相空间重叠,从而显著提高了收敛性并加速了相对结合自由能计算。该方法在针对磷酸二酯酶-1(PDE1)的实际药物发现工作中进行了广泛测试。从一种PDE1抑制剂(化合物,IC = 16.8 μmol/L)开始,CS-FEP指导的从苗头化合物到先导化合物的优化产生了一个有前景的先导化合物(及其甲磺酸盐制剂 -甲磺酸盐,IC = 7.0 nmol/L),抑制活性提高了约2400倍。进一步的实验研究表明,该先导化合物具有合理的代谢稳定性和显著的抗纤维化作用。