AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders.
Gabriela CzibulaCarmina CodreMihai TeletinPublished in: Expert Syst. Appl. (2021)
Keyphrases
- detecting anomalous
- protein structure
- protein folding
- amino acids
- protein structure prediction
- intrusion detection
- anomaly detection
- protein sequences
- network traffic
- denoising
- secondary structure
- contact map
- protein function
- protein backbone
- deep belief networks
- deep learning
- computational biology
- coarse grained
- amino acid sequences
- low energy
- restricted boltzmann machine
- graph theory
- highly accurate
- image processing
- structural motifs
- computer vision
- experimentally determined
- intrusion detection system
- supervised learning
- feature selection
- protein protein
- data mining