人工智能用于计算机辅助药物发现
Aditya Kate1, Ekkita Seth1, Ananya Singh1
1Amity Institute of Biotechnology, Amity University, Chhattisgarh, India.
Drug research
|June 5, 2023
概括
人工智能 (AI) 通过克服传统障碍,加速药物发现. 人工智能提高了成功率,并降低了开发新药的成本.
科学领域:
- 制药科学 制药科学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 传统的药物发现涉及大型化学图书馆的昂贵,耗时的选.
- 基于结构的药物设计提高了效率,但仍然需要广泛的合成和测试.
- 临床试验的高失败率 (不到10%的成功率) 强调了创新的必要性.
研究的目的:
- 探索人工智能 (AI) 在制药科学中的多方面的应用.
- 详细介绍人工智能如何应对传统药物开发中的挑战.
- 确定AI在药物研发中的特定用例和机会.
主要方法:
- 在科学领域对人工智能实施的审查.
- 分析AI对药物设计和开发过程的影响.
- 人工智能在制药研究中的使用案例的分类.
主要成果:
- 人工智能在药物开发中提供了显著的优势,包括识别新的生物系统和高级化学.
- 人工智能可以提高成功率,加快创新试验,降低成本.
- 人工智能促进了新型药物的更快,更具成本效益的开发.
结论:
- 人工智能集成正在彻底改变药物发现和开发.
- 人工智能提供了强大的工具来克服传统制药研究的局限性.
- 了解AI的多样化应用对于推进制药科学至关重要.
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