Improving the drug discovery process by using multiple classifier systems

Volume: 121, Pages: 292 - 303
Published: May 1, 2019
Abstract
Machine learning methods have become an indispensable tool for utilizing large knowledge and data repositories in science and technology. In the context of the pharmaceutical domain, the amount of acquired knowledge about the design and synthesis of pharmaceutical agents and bioactive molecules (drugs) is enormous. The primary challenge for automatically discovering new drugs from molecular screening information is related to the high...
Paper Details
Title
Improving the drug discovery process by using multiple classifier systems
Published Date
May 1, 2019
Volume
121
Pages
292 - 303
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