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