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Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade.
- Source :
-
Pharmaceuticals (14248247) . Feb2023, Vol. 16 Issue 2, p253. 18p. - Publication Year :
- 2023
-
Abstract
- Anti-cancer drug design has been acknowledged as a complicated, expensive, time-consuming, and challenging task. How to reduce the research costs and speed up the development process of anti-cancer drug designs has become a challenging and urgent question for the pharmaceutical industry. Computer-aided drug design methods have played a major role in the development of cancer treatments for over three decades. Recently, artificial intelligence has emerged as a powerful and promising technology for faster, cheaper, and more effective anti-cancer drug designs. This study is a narrative review that reviews a wide range of applications of artificial intelligence-based methods in anti-cancer drug design. We further clarify the fundamental principles of these methods, along with their advantages and disadvantages. Furthermore, we collate a large number of databases, including the omics database, the epigenomics database, the chemical compound database, and drug databases. Other researchers can consider them and adapt them to their own requirements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14248247
- Volume :
- 16
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Pharmaceuticals (14248247)
- Publication Type :
- Academic Journal
- Accession number :
- 162158043
- Full Text :
- https://doi.org/10.3390/ph16020253