Sahi Shakti, Rai Sneha, Chaudhary Meenakshi, Nain Vikrant
School of Biotechnology, Gautam Buddha University, Greater Noida, 201312, India.
Bioinformation. 2014 Aug 30;10(8):518-25. doi: 10.6026/97320630010518. eCollection 2014.
Plasmodium falciparum alanine M1-aminopeptidase (PfA-M1) is a validated target for anti-malarial drug development. Presence of significant similarity between PfA-M1 and human M1-aminopeptidases, particularly within regions of enzyme active site leads to problem of non-specificity and off-target binding for known aminopeptidase inhibitors. Molecular docking based in silico screening approach for off-target binding has high potential but requires 3D-structure of all human M1-aminopeptidaes. Therefore, in the present study 3D structural models of seven human M1-aminopeptidases were developed. The robustness of docking parameters and quality of predicted human M1-aminopeptidases structural models was evaluated by stereochemical analysis and docking of their respective known inhibitors. The docking scores were in agreement with the inhibitory concentrations elucidated in enzyme assays of respective inhibitor enzyme combinations (r2≈0.70). Further docking analysis of fifteen potential PfA-M1 inhibitors (virtual screening identified) showed that three compounds had less docking affinity for human M1-aminopeptidases as compared to PfA-M1. These three identified potential lead compounds can be validated with enzyme assays and used as a scaffold for designing of new compounds with increased specificity towards PfA-M1.
恶性疟原虫丙氨酸M1-氨基肽酶(PfA-M1)是抗疟药物研发中已得到验证的靶点。PfA-M1与人M1-氨基肽酶之间存在显著相似性,尤其是在酶活性位点区域,这导致了已知氨基肽酶抑制剂的非特异性和脱靶结合问题。基于分子对接的计算机模拟筛选脱靶结合方法具有很大潜力,但需要所有人类M1-氨基肽酶的三维结构。因此,在本研究中,构建了七种人类M1-氨基肽酶的三维结构模型。通过立体化学分析及其各自已知抑制剂的对接,评估了对接参数的稳健性和预测的人类M1-氨基肽酶结构模型的质量。对接分数与各自抑制剂-酶组合的酶分析中阐明的抑制浓度一致(r2≈0.70)。对十五种潜在的PfA-M1抑制剂(通过虚拟筛选鉴定)的进一步对接分析表明,与PfA-M1相比,三种化合物对人类M1-氨基肽酶的对接亲和力较低。这三种鉴定出的潜在先导化合物可通过酶分析进行验证,并用作设计对PfA-M1具有更高特异性的新化合物的支架。