Shah Hetal Damani, Saranath Dhananjaya, Murthy Vinuthaa
Department of Biological Sciences, Sunandan Divatia School of Science, SVKM's NMIMS (Deemed-to-be) University, Vile Parle (West), Mumbai, India.
Cancer Patients Aid Association, Dr. Vithaldas Parmar Research & Medical Centre, Worli, Mumbai, India.
J Biomol Struct Dyn. 2022 Apr;40(6):2407-2416. doi: 10.1080/07391102.2020.1839559. Epub 2020 Oct 28.
The p53 gene is mutated in greater than 50% of several human cancers including bladder urothelial carcinoma, lung adenocarcinoma, colorectal carcinoma, and oral cancer. Mutations in the p53 gene occur predominantly in the DNA-binding domain causing loss of function and accumulation of dysfunctional p53 protein in tumors by hetero-oligomerization with the wild type p53. Thus an in silico approach for the rational design of potent, pharmacologically active small drug-like compounds targeting mutated p53 was undertaken. Molecular dynamics simulations of the wild type p53 monomer and p53 mutants R175H and R248Q were performed using Discovery Studio v3.5. Phase was used to generate pharmacophore models and the sitemap generated pocket was used to screen the Maybridge HitFinder library using Schrodinger Suite. We identified ten compounds (Cmpd-1 to Cmpd-10) that showed preferential binding to p53 mutants, and their pharmacokinetic profiles complied with the ADMET rules. Cmpd-4 and Cmpd-8 demonstrated binding with mutated p53 at cysteine 124, similar to the mutant p53 reactivating compound APR-246 (PRIMA-1) for functional restoration of the mutant p53. We propose the identified compounds as suitable drug candidates against mutated p53 protein, with the specific small drug-like molecules as either single drugs or in combination with lower doses of additional cytotoxic drugs, consequently reducing adverse side effects in patients.Communicated by Ramaswamy H. Sarma.
p53基因在包括膀胱尿路上皮癌、肺腺癌、结直肠癌和口腔癌在内的多种人类癌症中突变率超过50%。p53基因的突变主要发生在DNA结合结构域,导致功能丧失,并通过与野生型p53异源寡聚化使功能失调的p53蛋白在肿瘤中积累。因此,我们采用计算机辅助方法合理设计针对突变型p53的强效、具有药理活性的类药物小分子化合物。使用Discovery Studio v3.5对野生型p53单体以及p53突变体R175H和R248Q进行了分子动力学模拟。利用Phase生成药效团模型,并使用Schrodinger Suite软件通过所生成的sitemap口袋筛选Maybridge HitFinder库。我们鉴定出了10种化合物(化合物-1至化合物-10),它们对p53突变体表现出优先结合,并且其药代动力学特征符合ADMET规则。化合物-4和化合物-8在半胱氨酸124处与突变型p53结合,类似于突变型p53再激活化合物APR-246(PRIMA-1),可实现突变型p53的功能恢复。我们提出所鉴定的化合物作为针对突变型p53蛋白的合适候选药物,这些特定的类药物小分子可单独作为药物使用,或与低剂量的其他细胞毒性药物联合使用,从而减少患者的不良副作用。由Ramaswamy H. Sarma传达。