Prediction of antioxidant peptides using a quantitative structure-activity relationship predictor (AnOxPP) based on bidirectional long short-term memory neural network and interpretable amino acid descriptors.
Dongya QinLinna JiaoRuihong WangYi ZhaoYoujin HaoGuizhao LiangPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- amino acids
- quantitative structure activity
- drug design
- protein structure prediction
- neural network
- protein sequences
- disordered regions
- recurrent neural networks
- protein structure
- protein function
- secondary structure
- tertiary structure
- artificial neural networks
- protein folding
- amino acid residues
- physicochemical properties
- amino acid sequences
- drug discovery
- physico chemical
- sequence alignment
- contact map
- protein protein interactions
- back propagation
- experimentally determined
- genetic algorithm
- computational biology
- sequence analysis
- network model
- ad hoc networks
- natural language processing
- machine learning