Daisy P, Mathew Salu, Suveena S, Rayan Nirmala A
Bioinformatics Centre (BIF), Department of Biotechnology & Bioinformatics, Holy Cross College, Tepakulam, Tiruchirapalli-620002, India.
Int J Biomed Sci. 2008 Sep;4(3):196-203.
Staphylococcus aureus has gained much attention in the last decade as it is a major cause of the Urinary Tract Infection in Diabetic patients. The Extended Spectrum β-Lactamases (ESβL) producers are highly resistant to several conventional antibiotics. This limits the therapeutic options.Hence efforts are now taken to screen few medicinal plants, which are both economic and less toxic. Among the several plants screened, we have chosen the acetone extract of Elephantopus scaber from which we purified a new terpenoid for our study. Its structure was generated using CHEMSKETCH software and the activity prediction was done using PASS PREDICTION software. We have confirmed the mechanism of anti-bacterial effect of terpenoid using Computer - Aided Drug Design (CADD) with computational methods to simulate drug - receptor interactions. The Protein-Ligand interaction plays a significant role in the structural based drug designing. In this present study we have taken the Autolysin, the bacteriolytic enzyme, that digest the cell wall peptidoglycon. The autolysin and terpenoid were docked using HEX docking software and the docking score with minimum energy value of -209.54 was calculated. It infers that the terpenoid can inhibit the activity of autolysin by forming a strong atomic interaction with the active site residues. Hence the terpenoid can act as a drug for bacterial infections. Further investigations can be carried out to predict the activity of terpeniod on other targets.
在过去十年中,金黄色葡萄球菌备受关注,因为它是糖尿病患者尿路感染的主要病因。产超广谱β-内酰胺酶(ESβL)的菌株对几种传统抗生素具有高度抗性。这限制了治疗选择。因此,现在人们努力筛选一些经济且毒性较小的药用植物。在筛选的几种植物中,我们选择了地胆草的丙酮提取物,并从中纯化出一种新的萜类化合物用于我们的研究。其结构使用CHEMSKETCH软件生成,活性预测使用PASS PREDICTION软件进行。我们使用计算机辅助药物设计(CADD)和计算方法模拟药物-受体相互作用,证实了萜类化合物的抗菌作用机制。蛋白质-配体相互作用在基于结构的药物设计中起着重要作用。在本研究中,我们选取了自溶素,即一种能消化细胞壁肽聚糖的溶菌酶。使用HEX对接软件将自溶素和萜类化合物进行对接,并计算出最低能量值为-209.54的对接分数。这表明萜类化合物可以通过与活性位点残基形成强原子相互作用来抑制自溶素的活性。因此,萜类化合物可以作为治疗细菌感染的药物。可以进一步开展研究来预测萜类化合物对其他靶点的活性。