计算药物重新定位方法用于预测的多目标治疗方法
Pawan Kumar1,2, Vivek Kumar1, Raveena Chauhan1
1Toxicology and Computational Biology Group, Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
计算药物重新定位确定了Oxaprozin作为一种有希望的治疗的重新定位药物. 这项研究选了已批准的药物抗性质,发现oxaprozin表现出稳定地与关键标结合,表明潜在的抗药性发作.
科学领域:
- 神经科学是一个神经科学.
- 药理学 药理学是指药理学的学科.
- 计算化学的计算化学
背景情况:
- 影响全球数百万人,其中很大一部分患有耐药性发作.
- 开发新型抗药物是一个漫长而昂贵的过程.
- 药物重新定位为识别新的治疗方法提供了一种具有成本效益的替代方案.
研究的目的:
- 使用计算方法识别潜在的多向重定向药物用于发作.
- 对特定的分子标进行选,以检测已批准的药物的抗活性.
主要方法:
- 从DrugBank数据库中选所有已批准的药物.
- 预测血脑屏障的透性和结构相似性分析.
- 分子对抗电压通通道α2,GABA受体α1-β1和电压通通道α1G.
- 分子动力学模拟以评估结合稳定性.
主要成果:
- 与标准抗药物相比,46种药物表现出更高的结合亲和力.
- 确定了oxaprozin,pizotifen和cyproheptadine作为潜在的候选人,可以结合到精确的口袋,没有报告的与有关的副作用.
- 牛素表现出最稳定的结合相互作用,表明其作为重用药物的潜力.
结论:
- 奥克萨普罗辛是一种潜在的重用药物候选药物,用于治疗,特别是在耐药病例中.
- 需要进一步的临床前研究来验证oxaprozin的疗效和安全性.
- 这项研究强调了计算药物重新定位在发现神经系统疾病新疗法策略的有用性.
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