MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins.
Shuya LiFangping WanHantao ShuTao JiangDan ZhaoJianyang ZengPublished in: RECOMB (2020)
Keyphrases
- pairwise
- multi objective
- neural network
- dna binding
- van der waals
- chemical compounds
- protein interaction
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- predicting protein
- optimization algorithm
- interaction networks
- binding sites
- wet lab
- living cells
- protein protein
- protein function
- protein protein interactions
- particle swarm optimization
- cellular processes
- protein structure
- conflicting objectives
- multi objective optimization problems
- multiple objectives
- objective function
- neural network model
- nsga ii
- immune response
- gene expression
- artificial neural networks
- statistical significance
- cis regulatory
- hiv protease
- experimental data
- markov random field
- similarity measure
- amino acid sequences
- drug discovery
- transcription factors
- genome wide
- systems biology
- amino acids
- protein sequences
- biological knowledge
- protein interaction networks
- biological processes
- network topology
- molecular structure
- dna sequences
- high throughput
- back propagation