Cao Kun, Wang Ruonan, Wu Siyu, Ou Dong, Li Ruixue, Li Lianhai, Liu Xinguang
Guangdong Provincial Key Laboratory of Medical Immunology and Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523808, China.
Scientific Research Platform Management Service Center, Guangdong Medical University, Dongguan, 523808, China.
Mol Divers. 2025 Apr 14. doi: 10.1007/s11030-025-11184-9.
Poly (ADP-ribose) polymerase-1 (PARP-1) is a key enzyme in the base excision repair pathway, crucial for maintaining genomic stability by repairing DNA breaks. In cancers with mutations in DNA repair genes, such as BRCA1 and BRCA2, PARP-1 activity becomes essential for tumor cell survival, making it a promising target for therapeutic intervention. This study employs QSAR modeling, virtual screening, and molecular dynamics (MD) simulations to identify potential PARP-1 inhibitors. A dataset of inhibitors was analyzed using 12 molecular fingerprint descriptors to develop robust QSAR models, with the optimal model based on the CDK descriptor achieving R = 0.96, Q_CV = 0.78, and Q_Ext = 0.80. The model was applied to virtually screen three chemical libraries-ZINC, FDA, and NPA-identifying promising candidates for PARP-1 inhibition. Molecular docking revealed that compounds ZINC13132446, Z2037280227, and NPC193377 have strong binding affinity for the PARP-1 active site. MD simulations and MM-PBSA confirmed the stability of these complexes, with Z2037280227 and NPC193377 exhibiting the most stable interactions. These results underscore the potential of targeting PARP-1 as a therapeutic strategy for cancers with homologous recombination deficiencies, including prostate, breast, and ovarian cancer, particularly in patients with DNA repair deficiencies.
聚(ADP - 核糖)聚合酶 - 1(PARP - 1)是碱基切除修复途径中的关键酶,通过修复DNA断裂对维持基因组稳定性至关重要。在DNA修复基因(如BRCA1和BRCA2)发生突变的癌症中,PARP - 1活性对于肿瘤细胞存活变得至关重要,使其成为治疗干预的一个有前景的靶点。本研究采用定量构效关系(QSAR)建模、虚拟筛选和分子动力学(MD)模拟来鉴定潜在的PARP - 1抑制剂。使用12个分子指纹描述符分析了抑制剂数据集以开发稳健的QSAR模型,基于CDK描述符的最优模型的R = 0.96,交叉验证系数Q_CV = 0.78,外部验证系数Q_Ext = 0.80。该模型应用于虚拟筛选三个化学文库——ZINC、FDA和NPA,以鉴定PARP - 1抑制的有前景的候选物。分子对接显示化合物ZINC13132446、Z2037280227和NPC193377对PARP - 1活性位点具有强结合亲和力。MD模拟和MM - PBSA证实了这些复合物的稳定性,其中Z2037280227和NPC193377表现出最稳定的相互作用。这些结果强调了靶向PARP - 1作为包括前列腺癌、乳腺癌和卵巢癌在内的具有同源重组缺陷的癌症的治疗策略的潜力,特别是对于具有DNA修复缺陷的患者。