BRMCF : Binary Relevance and MLSMOTE based Computational Framework to Predict Drug Functions from Chemical and Biological Properties of Drugs.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3215645
Abstract: In silico machine learning based prediction of drug functions considering the drug properties would substantially enhance the speed and reduce the cost of identifying promising drug leads. The drug function prediction capability of different drug… read more here.
Keywords: drug functions; drug properties; framework; drug function ... See more keywords
Uncovering New Drug Properties in Target-Based Drug–Drug Similarity Networks
Sign Up to like & getrecommendations! Published in 2020 at "Pharmaceutics"
DOI: 10.3390/pharmaceutics12090879
Abstract: Despite recent advances in bioinformatics, systems biology, and machine learning, the accurate prediction of drug properties remains an open problem. Indeed, because the biological environment is a complex system, the traditional approach—based on knowledge about… read more here.
Keywords: drug properties; drug; drug similarity; drug drug ... See more keywords