Akachukwu Ibezim, Olubiyi Olujide O, Kosisochukwu Ata, John Mbah C, Justina Nwodo N
Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nzukka, Enugu, Nigeria, West Africa.
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria, West Africa.
Curr Comput Aided Drug Des. 2017;13(2):91-100. doi: 10.2174/1573409913666170119114859.
Schistosomiasis is a parasitic protozoal disease caused by flatworms of the genus Schistosoma. Although the disease threatens millions of lives, it is still at the top list of neglected tropical diseases and praziquantel, the only common schistosocidal drug in use, has records of decreasing efficiency and cases of resistance. Also, reports revealed that people in the rural areas, who are most affected, rely mostly on traditional herbal medicines because of limited access to modern healthcare. The use of computers in drug development has become a routine practice because they are cost and time effective.
We used computational techniques to discover potent Schistosoma inhibitors of natural product origin.
Computer-based techniques were employed to discover anti-schistosoma lead/hit from plant metabolites isolated from African medicinal plants which have shown activity or are responsible for activity against Schistosomes. The plant metabolites were evaluated for 'drug-likeness' and docked toward four selected validated Schistosoma drug targets; Glutathione S-transferase, Thioredoxin glutathione reductase, Histone deacetylase and Schistosoma masoni arginase, with PDB codes: 1M9A, 2X99, 4BZ8 and 4Q3T respectively.
A total of 27 bioactive compounds with anti-Schistosoma history were retrieved from literature. The phytochemicals with Lipinski violation of ≤ 2 were found to exhibit comparable binding affinities toward the studied targets as the co-crystallized inhibitors. Predicted binding modes of the compounds toward respective target showed key intermolecular interactions involved in the ligandtarget relationship. Moreover, one of the compounds emerged as the most interesting candidate by both being drug-like and inhibiting the activities of the studied enzyme targets at micro-molar range.
Our study identified schistosocidal leads with high bioavailability profile and the exploration of binding modes could lay the foundation for synthetic modification of the plant metabolites for the development of novel anti-schistosoma drug(s) with new mechanism of action.
血吸虫病是一种由血吸虫属扁虫引起的寄生原生动物疾病。尽管该疾病威胁着数百万人的生命,但它仍然位列被忽视的热带疾病榜首,而目前唯一常用的抗血吸虫药物吡喹酮,已有疗效降低和耐药病例的记录。此外,报告显示,受影响最严重的农村地区的人们,由于获得现代医疗保健的机会有限,大多依赖传统草药。在药物研发中使用计算机已成为一种常规做法,因为它们具有成本效益且节省时间。
我们使用计算技术来发现具有天然产物来源的强效血吸虫抑制剂。
采用基于计算机的技术,从从非洲药用植物中分离出的植物代谢产物中发现抗血吸虫先导物/活性物质,这些植物代谢产物已显示出对血吸虫有活性或具有抗血吸虫活性。对这些植物代谢产物进行“类药性”评估,并将其对接至四个选定的经过验证的血吸虫药物靶点;谷胱甘肽S-转移酶、硫氧还蛋白谷胱甘肽还原酶、组蛋白脱乙酰基酶和曼氏血吸虫精氨酸酶,其蛋白质数据银行(PDB)代码分别为:1M9A、2X99、4BZ8和4Q3T。
从文献中检索到总共27种具有抗血吸虫历史的生物活性化合物。发现违反Lipinski规则≤2的植物化学物质对所研究靶点的结合亲和力与共结晶抑制剂相当。化合物对各自靶点的预测结合模式显示了配体-靶点关系中涉及的关键分子间相互作用。此外,其中一种化合物成为最具吸引力的候选物,因为它既具有类药性,又能在微摩尔范围内抑制所研究酶靶点的活性。
我们的研究确定了具有高生物利用度的抗血吸虫先导物,对结合模式的探索可为植物代谢产物的合成修饰奠定基础,以开发具有新作用机制的新型抗血吸虫药物。