对于创新药物发现的先进机器学习
Igor V Tetko1,2, Djork-Arné Clevert3
1Institute of Structural Biology, Molecular Targets and Therapeutics Center, Helmholtz Munich - Deutsches Forschungszentrum Für Gesundheit Und Umwelt (GmbH), 86764, Neuherberg, Germany. itetko@vcclab.org.
Journal of cheminformatics
|August 9, 2025
概括
机器学习正在通过改进分子性质预测和反应预测来彻底改变药物发现. 这个特别号强调了人工智能方法的进步,为未来的自主化学实验室铺平了道路.
科学领域:
- * 化学信息学和计算化学
- *人工智能和机器学习应用程序
- * 制药科学和药物开发
背景情况:
- *"化学信息学杂志"专刊"药物发现中的人工智能"的评论.
- *专注于新型机器学习 (ML) 开发,增强药物发现管道.
- * 检查ML在基于结构的药物发现和属性预测中的作用.
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