Ensemble Application of Fuzzy Multicellular Gene Expression by Programming Algorithm

Abstract

It is well known that drug development takes a long time as well as cost. Due to the unknown nature of compounds, pharmaceutical researchers need to repeat hundreds or thousands of experiments to obtain relatively accurate results. The advent of artificial intelligence algorithms has provided great convenience for pharmaceutical researchers. Researchers have applied machine learning algorithms with artificial intelligence to the field of drug discovery and development and have achieved fruitful results. For the problem of physicochemical properties of compounds involved in the drug development process, with the FMCGEP(fuzzy multicellular gene expression programming) algorithm, we integrate the classification and regression application of compound toxicity data and compound activity data.