Computational Medicinal Chemistry Laboratory, Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan.
School of Biological Science, University of California, Irvine, CA 92697, USA.
Molecules. 2023 Jan 29;28(3):1300. doi: 10.3390/molecules28031300.
Infection of hepatitis C (HCV) is a major threat to human health throughout the world. The current therapy program suffers from restricted efficiency and low tolerance, and there is serious demand frr novel medication. NS3/4A protease is observed to be very effective target for the treatment of HCV. A data set of the already reported HCV NS3/4A protease inhibitors was first docked into the NS3/4A protease (PDB ID: 4A92A) active sites of both protease and helicase sites for calculating the docking score, binding affinity, binding mode, and solvation energy. Then the data set of these reported inhibitors was used in a computer-based program "RECAP Analyses" implemented in MOE to fragment every molecule in the subset according to simple retrosynthetic analysis rules. The RECAP analysis fragments were then used in another computer-based program "RECAP Synthesis" to randomly recombine and generate synthetically reasonable novel chemical structures. The novel chemical structures thus produced were then docked against HCV NS3/4A. After a thorough validation of all undertaken steps, based on Lipinski's rule of five, docking score, binding affinity, solvation energy, and Van der Waal's interactions with HCV NS3/4A, 12 novel chemical structures were identified as inhibitors of HCV NS3/4A. The novel structures thus designed are hoped to play a key role in the development of new effective inhibitors of HCV.
丙型肝炎(HCV)感染是全球范围内人类健康的主要威胁。目前的治疗方案存在效率受限和耐受性低的问题,因此急需新型药物。NS3/4A 蛋白酶被认为是治疗 HCV 的非常有效的靶标。首先,将已经报道的 HCV NS3/4A 蛋白酶抑制剂数据集对接入 NS3/4A 蛋白酶(PDB ID:4A92A)的活性部位和螺旋酶部位,以计算对接评分、结合亲和力、结合模式和溶剂化能。然后,将这些报道的抑制剂数据集用于 MOE 中实现的基于计算机的程序“RECAP 分析”,根据简单的反合成分析规则对子集中的每个分子进行片段化。RECAP 分析片段然后用于另一个基于计算机的程序“RECAP 合成”,以随机组合并生成合理的新化学结构。由此产生的新化学结构随后与 HCV NS3/4A 对接。在对所有步骤进行彻底验证后,基于 Lipinski 的五规则、对接评分、结合亲和力、溶剂化能以及与 HCV NS3/4A 的范德华相互作用,确定了 12 种新的化学结构作为 HCV NS3/4A 的抑制剂。这些设计的新结构有望在开发新的 HCV 有效抑制剂方面发挥关键作用。