计算生物学方法用于药物重新使用
Tanya Waseem1, Tausif Ahmed Rajput1, Muhammad Saqlain Mushtaq1
1Shifa College of Pharmaceutical Sciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan.
计算生物学通过组织复杂的生物数据来帮助药物发现. 这种方法,特别是药物重新利用,通过使用已批准的药物来加速发展,节省时间和成本.
科学领域:
- 计算生物学 计算生物学
- 药物发现和开发 药物发现和开发
- 生物信息学是一种生物信息学.
背景情况:
- 药物发现和开发 (DDD) 面临着由于复杂,异构的生物数据的挑战.
- 传统的DDD是耗时且昂贵的.
- 药物再利用提供了一个更快,更具成本效益的替代方案,利用已知安全性配置的现有药物.
研究的目的:
- 探索用于药物重用的计算生物学技术.
- 概述开发药物重用概况的方法和工具.
- 为了证明计算生物学如何简化药物开发.
主要方法:
- 利用计算生物学来组织和分析大型生物数据集.
- 应用药物重定向策略,以确定已批准药物的新治疗用途.
- 利用已批准药物的现有安全性和有效性数据.
主要成果:
- 计算生物学提供了系统的方法来管理复杂的生物数据.
- 药物重定向显著减少了与传统药物开发相关的时间和成本.
- 已建立的计算工具有助于创建有效的药物重定向配置文件.
结论:
- 计算生物学对于有效的药物发现和开发至关重要.
- 通过计算方法增强的药物再利用提供了一种可行的策略,以克服DDD限制.
- 本章提供了用于药物重定向的计算生物学工具的基础知识.
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