PIPENN: protein interface prediction from sequence with an ensemble of neural nets.
Bas StringerHans de FerranteSanne AbelnJaap HeringaK. Anton FeenstraReza HaydarlouPublished in: Bioinform. (2022)
Keyphrases
- neural nets
- tertiary structure
- protein tertiary structure
- neural network
- subcellular localization
- protein secondary structure prediction
- feed forward
- protein secondary structure
- contact map
- sequence analysis
- multiple sequence alignments
- amino acids
- artificial neural networks
- protein structure
- psi blast
- back propagation
- prediction accuracy
- protein sequences
- secondary structure
- amino acid sequences
- protein structure prediction
- sequence alignment
- learning tasks
- counter propagation
- single layer
- sequence databases
- ensemble classifier
- remote homology detection
- genomic sequences
- artificial intelligence
- learning algorithm
- protein interaction
- training set
- training data
- decision trees