Bhatt S, Bhatt H, Dalai S K, Vyas V K
Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, India.
Institute of Science, Nirma University, Ahmedabad, India.
SAR QSAR Environ Res. 2025 Jun;36(6):487-506. doi: 10.1080/1062936X.2025.2523386. Epub 2025 Jul 10.
dihydroorotate dehydrogenase (DHODH) is a well-established target for developing novel antimalarial agents. Novel imidazo[1,2-]pyrimidines were designed as DHODH inhibitors using a fragment-based drug design (FADD) approach. A library of active molecules targeting DHODH was analysed to generate fragments using the RDKit BRICS module. These fragments were screened by docking them into the active site of the DHODH enzyme. Among them, the lead fragment, fragment-11, demonstrated a significant binding affinity of -6.895 kcal/mol. This fragment was optimized using a fragment-growing approach via the FragGrow webserver. From the 471 generated molecules, two showed binding scores of -7.9 and -7.0 kcal/mol. These molecules were further optimized, resulting in a lead molecule with a binding score of -11.3 kcal/mol. Based on the results from the FragGrow webserver, 216 novel imidazo[1,2-]pyrimidines were designed using the scaffold-hopping approach. The ADMET properties of these compounds revealing that all the designed compounds exhibited drug-like properties. Docking studies indicated that compounds 28d, 46d, and 49d had strong binding affinities, with 28d showing the highest score of -10.41 kcal/mol. Furthermore, molecular dynamics (MD) simulations of 28d demonstrated good stability in the enzyme-ligand complex. This comprehensive in silico study suggests that imidazo[1,2-]pyrimidines can serve as potent DHODH inhibitors.
二氢乳清酸脱氢酶(DHODH)是开发新型抗疟药物的一个成熟靶点。采用基于片段的药物设计(FADD)方法,设计了新型咪唑并[1,2 - ]嘧啶作为DHODH抑制剂。使用RDKit BRICS模块分析了一个靶向DHODH的活性分子库以生成片段。通过将这些片段对接至DHODH酶的活性位点进行筛选。其中,先导片段片段 - 11表现出显著的结合亲和力,为 - 6.895千卡/摩尔。通过FragGrow网络服务器使用片段生长方法对该片段进行了优化。在生成的471个分子中,有两个分子的结合分数分别为 - 7.9和 - 7.0千卡/摩尔。对这些分子进一步优化,得到了一个结合分数为 - 11.3千卡/摩尔的先导分子。基于FragGrow网络服务器的结果,使用骨架跳跃方法设计了216种新型咪唑并[1,2 - ]嘧啶。这些化合物的ADMET性质表明,所有设计的化合物均表现出类药物性质。对接研究表明,化合物28d、46d和49d具有很强的结合亲和力,其中28d的得分最高,为 - 10.41千卡/摩尔。此外,对28d的分子动力学(MD)模拟表明其在酶 - 配体复合物中具有良好的稳定性。这项全面的计算机模拟研究表明,咪唑并[1,2 - ]嘧啶可作为有效的DHODH抑制剂。