Artificial intelligence in cancer target identification and drug discovery
Sichuan University · Friedrich-Alexander-Universität Erlangen-Nürnberg · +8 more institutions
Abstract
Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as cancer. Here, we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover drugs. First, we describe the scope of artificial intelligence biology analysis for novel anticancer target investigations. Second, we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence algorithms. Finally, we showcase the…
Citation impact
- FWCI
- 55.71
- Percentile
- 100%
- References
- 277
Authors
8- YYYujie You
Sichuan University
- XLXin Lai
Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen
- YPYi Pan
Shenzhen University, Chinese Academy of Sciences, University Town of Shenzhen
- HZHuiru Zheng
University of Ulster
- JVJulio Vera
Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen
Topics & keywords
- Identification (biology)
- Artificial intelligence
- Drug discovery
- Computer science
- Scope (computer science)
- Cancer drugs
- Deep learning
- Machine learning
- Good health and well-being