iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions.
Sheraz NaseerRao Faizan AliAmgad MuneerSuliman Mohamed FatiPublished in: Symmetry (2021)
Keyphrases
- deep learning
- amino acids
- protein structure prediction
- contact maps
- protein sequences
- tertiary structure
- physicochemical properties
- contact map
- amino acid sequences
- protein function
- physico chemical
- unsupervised feature learning
- amino acid residues
- secondary structure
- protein structure
- prediction accuracy
- unsupervised learning
- experimentally determined
- secondary structure prediction
- psi blast
- deep architectures
- protein folding
- machine learning
- disordered regions
- sequence alignment
- deep belief networks
- weakly supervised
- coarse grained
- protein classification
- protein interaction
- computational biology
- supervised learning
- molecular biology