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针对曼氏血吸虫SmCL1的新型非肽抑制剂:基于知识的药物发现的计算机模拟阐释、意义及评估

Novel Non-Peptide Inhibitors against SmCL1 of Schistosoma mansoni: In Silico Elucidation, Implications and Evaluation via Knowledge Based Drug Discovery.

作者信息

Zafar Atif, Ahmad Sabahuddin, Rizvi Asim, Ahmad Masood

机构信息

Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India.

Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India.

出版信息

PLoS One. 2015 May 1;10(5):e0123996. doi: 10.1371/journal.pone.0123996. eCollection 2015.

Abstract

Schistosomiasis is a major endemic disease known for excessive mortality and morbidity in developing countries. Because praziquantel is the only drug available for its treatment, the risk of drug resistance emphasizes the need to discover new drugs for this disease. Cathepsin SmCL1 is the critical target for drug design due to its essential role in the digestion of host proteins for growth and development of Schistosoma mansoni. Inhibiting the function of SmCL1 could control the wide spread of infections caused by S. mansoni in humans. With this objective, a homology modeling approach was used to obtain theoretical three-dimensional (3D) structure of SmCL1. In order to find the potential inhibitors of SmCL1, a plethora of in silico techniques were employed to screen non-peptide inhibitors against SmCL1 via structure-based drug discovery protocol. Receiver operating characteristic (ROC) curve analysis and molecular dynamics (MD) simulation were performed on the results of docked protein-ligand complexes to identify top ranking molecules against the modelled 3D structure of SmCL1. MD simulation results suggest the phytochemical Simalikalactone-D as a potential lead against SmCL1, whose pharmacophore model may be useful for future screening of potential drug molecules. To conclude, this is the first report to discuss the virtual screening of non-peptide inhibitors against SmCL1 of S. mansoni, with significant therapeutic potential. Results presented herein provide a valuable contribution to identify the significant leads and further derivatize them to suitable drug candidates for antischistosomal therapy.

摘要

血吸虫病是一种主要的地方病,在发展中国家以高死亡率和高发病率而闻名。由于吡喹酮是治疗该病的唯一可用药物,耐药风险凸显了研发针对这种疾病的新药的必要性。组织蛋白酶SmCL1是药物设计的关键靶点,因为它在曼氏血吸虫生长发育过程中对宿主蛋白的消化起着至关重要的作用。抑制SmCL1的功能可以控制曼氏血吸虫在人类中引起的感染的广泛传播。基于这一目标,采用同源建模方法获得了SmCL1的理论三维(3D)结构。为了找到SmCL1的潜在抑制剂,通过基于结构的药物发现方案,采用了大量计算机技术来筛选针对SmCL1的非肽类抑制剂。对对接的蛋白质-配体复合物的结果进行了受试者工作特征(ROC)曲线分析和分子动力学(MD)模拟,以识别针对SmCL1建模3D结构的排名靠前的分子。MD模拟结果表明,植物化学物质西马卡内酯-D是一种针对SmCL1的潜在先导化合物,其药效团模型可能有助于未来潜在药物分子的筛选。总之,这是第一份讨论针对曼氏血吸虫SmCL1的非肽类抑制剂虚拟筛选的报告,具有显著的治疗潜力。本文给出的结果为识别重要的先导化合物并将其进一步衍生为抗血吸虫治疗的合适候选药物做出了宝贵贡献。

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