用于药物重定向的知识图应用和多关系学习:范围审查
A Arun Kumar1, Samarth Bhandary1, Swathi Gopal Hegde1
1Department of Biotechnology, PES University, Bangalore 560085, India.
Computational biology and chemistry
|February 6, 2025
概括
知识图提供了一种独特的计算方法,用于药物重新使用,这是开发新药的成本效益高的方法. 这一新兴领域显示了最近的增长和未来药物发现的潜力.
科学领域:
- 计算机化药物发现.
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 药物开发是昂贵和耗时的.
- 药物再利用提供了一个具有成本效益的替代方案.
- 知识图表正在成为这个领域中独特的计算工具.
研究的目的:
- 审查知识图表在医学中的应用.
- 专门检查它们在药物重用中的使用情况.
- 了解这种方法的趋势,应用和局限性.
主要方法:
- 科学论文的文献评论. 科学论文的文献评论.
- 分析药物重用中的知识图表应用.
- 检查嵌入方法,机器学习集成和知识图完成.
主要成果:
- 在过后分析了43篇论文.
- 突出趋势包括时间表,地理分布和应用领域.
- 讨论了药物重用知识图的一般趋势和缺陷.
结论:
- 对药物重新利用的知识图表应用是最近的发展.
- 该领域目前处于新生阶段.
- 预计将继续进行进一步的研究和开发.
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