人工智能/ML方法和未来 - - 他们能否成功设计下一代新的化学实体?
1RJB Computational Modeling LLC, Chapel Hill, NC, USA. rachelleb1@gmail.com.
Journal of cheminformatics
|April 6, 2025
概括
机器学习 (ML) 和人工智能 (AI) 正在通过增强化学数据分析来进行分子性质预测和目标识别来改变药物发现. 将机器学习与传统基于物理的方法和实验数据相结合,为改善药物设计提供了互补的优势.
科学领域:
- 化学信息学和计算化学
- 药物的发现和开发.
- 在化学领域的机器学习和人工智能.
背景情况:
- 传统的化学信息学和化学数据库是药物发现的基础.
- 新兴的机器学习 (ML) 和人工智能 (AI) 方法正在彻底改变化学数据的利用.
- 机器学习/人工智能的整合促使人们重新评估药物发现中的计算方法.
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