Preethi Balasundaram, Shanthi Veerappapillai, Ramanathan Karuppasamy
Department of Biotechnology, School of Bio Sciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
BioDrugs. 2016 Dec;30(6):593-605. doi: 10.1007/s40259-016-0200-7.
Salmonella typhimurium is the main cause of gastrointestinal illness in humans, and treatment options are decreasing because drug-resistant strains have emerged.
The objective of this study was to use computational drug repurposing to identify a novel candidate with an effective mechanism of action to circumvent the drug resistance.
We used the Mantra 2.0 database to initially screen drug candidates that share similar gene expression profiles to those of quinolones. Data were further reduced using pharmacophore mapping theory. Finally, we employed molecular-simulation studies to calculate the binding affinity of the screened candidates with DNA gyrase, alongside an analysis of side effects.
A total of 16 drug candidates from the Mantra 2.0 database were screened. The pharmacophoric features of the screened candidates were examined and nalidixic acid features compared using the PharamGist program. A total of 11 compounds with the highest pharmacophore score were considered for binding energy calculation. Finally, we analysed the side effects of the eight drug candidates that showed significant binding affinity in the simulation study.
Overall, flufenamic acid and sulconazole may be potential drug candidates that could be studied in vitro to assess their resistance profile against Salmonella enterica Typhimurium.
鼠伤寒沙门氏菌是人类胃肠道疾病的主要病因,由于耐药菌株的出现,治疗选择正在减少。
本研究的目的是利用药物再利用计算方法来识别一种具有有效作用机制以规避耐药性的新型候选药物。
我们使用Mantra 2.0数据库初步筛选与喹诺酮类药物具有相似基因表达谱的候选药物。利用药效团映射理论进一步减少数据。最后,我们采用分子模拟研究来计算筛选出的候选药物与DNA促旋酶的结合亲和力,并分析副作用。
从Mantra 2.0数据库中总共筛选出16种候选药物。使用PharamGist程序检查筛选出的候选药物的药效特征,并与萘啶酸特征进行比较。总共11种具有最高药效团得分的化合物被考虑用于结合能计算。最后,我们分析了在模拟研究中显示出显著结合亲和力的8种候选药物的副作用。
总体而言,氟芬那酸和硫康唑可能是潜在的候选药物,可在体外进行研究以评估它们对鼠伤寒沙门氏菌的耐药情况。