BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs.
Pranab DasYogita ThakranS. R. Ngamwal AnalVipin PalAnju YadavPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2023)
Keyphrases
- computational framework
- drug discovery
- virtual screening
- drug design
- pharmaceutical industry
- computational model
- chemical compounds
- physico chemical
- active vision
- early stage
- biological systems
- tensor voting
- information retrieval
- scientific data
- aggregation functions
- molecular biology
- high throughput
- scoring function
- protein structure prediction
- test collection
- multi class
- functional properties
- image retrieval
- structural properties
- neural network