AFP-CKSAAP: Prediction of Antifreeze Proteins Using Composition of k-Spaced Amino Acid Pairs with Deep Neural Network.
Muhammad UsmanJeong A. LeePublished in: CoRR (2019)
Keyphrases
- amino acids
- amino acid residues
- neural network
- experimentally determined
- protein sequences
- protein structure prediction
- contact maps
- protein function
- tertiary structure
- physicochemical properties
- contact map
- protein structure
- amino acid sequences
- secondary structure
- prediction model
- secondary structure prediction
- physico chemical
- protein interaction
- protein folding
- prediction accuracy
- predicting protein
- psi blast
- pairwise
- disordered regions
- protein protein interactions
- sequence alignment
- drug design
- artificial neural networks
- protein classification
- protein interaction networks
- computational methods