The rise of deep learning in drug discovery 论文
2018Drug Discovery Today引用 1743
Computational Drug Discovery MethodsMachine Learning in Materials ScienceGenetics, Bioinformatics, and Biomedical Research
详细信息
- 发表期刊/会议
- Drug Discovery Today
- 发表日期
- 2018-01-31
- 发表年份
- 2018
关键词
Computational Drug Discovery MethodsMachine Learning in Materials ScienceGenetics, Bioinformatics, and Biomedical Research
摘要
Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine learning algorithms in areas such as image and voice recognition, natural language processing, among others. The first wave of applications of deep learning in pharmaceutical research has emerged in recent years, and its utility has gone beyond bioactivity predictions and has shown promise in addressing diverse problems in drug discovery. Examples will be discussed covering bioactivity prediction, de novo molecular design, synthesis prediction and biological image analysis.