彻底改变神经治疗方法:研究药物重定位策略
Meenakshi Attri1, Asha Raghav2, Jyoti Sinha2
1School of Medical & Allied Sciences, K.R. Mangalam University, Gurugram, Haryana 122103, India.
CNS & neurological disorders drug targets
|September 26, 2024
概括
药物重定向通过探索现有药物,为神经退行性疾病治疗提供了更快的途径. 本综述详细介绍了目标和非目标策略,计算方法以及寻找新疗法的挑战.
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.
- 计算生物学 计算生物学
背景情况:
- 药物再利用 (DR) 加快了神经退行性疾病 (ND) 治疗方法的发现.
- 它涉及确定现有药物的新用途,减少开发时间和成本.
- 这种方法特别适用于具有有限治疗选择的复杂神经疾病.
研究的目的:
- 审查用于神经退行性疾病的药物重用策略.
- 探索非目标和目标药物发现技术.
- 提供当前临床试验和现场挑战的概述.
主要方法:
- 检查非目标策略 (使用副作用) 和目标策略 (准疾病途径).
- 突出实验和计算方法,如机器学习,蛋白质组学和in silico选.
- 对药物重定向候选药物和神经疾病临床试验的现有文献进行分析.
主要成果:
- 确定了神经退行性疾病的潜在药物重用候选人.
- 证明了计算和实验方法在发现新药和疾病相关性方面的实用性.
- 强调需要标准化程序来提高药物重用成功率的必要性.
结论:
- 药物再利用是开发神经退行性疾病治疗方法的一个有希望的途径.
- 需要进一步的研究来克服挑战,并优化成功药物重定向策略.
- 标准化的方法对于推动神经学研究中的药物重用至关重要.
关键词:
药物重用 药物重用人工智能 (AI) 是一种人工智能.计算方法是一种计算方法.基于实验的基于实验的实验.基于基因组学的方法.基于in-silico的方法方法.机器学习. 机器学习.基于网络的方法.神经退行性疾病 (NDs) 是一种神经退行性疾病.更多相关视频
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