Using Sequence Motifs for Enhanced Neural Network Prediction of Protein Distance Constraints.
Jan GorodkinOle LundClaus A. F. AndersenSøren BrunakPublished in: ISMB (1999)
Keyphrases
- neural network
- prediction model
- protein tertiary structure
- predicting protein
- protein sequences
- subcellular localization
- genome sequences
- protein families
- sequence analysis
- biological sequences
- prediction accuracy
- amino acids
- protein structure prediction
- protein function prediction
- protein secondary structure
- multiple sequence alignments
- protein structure
- sequence alignment
- drug design
- tertiary structure
- contact map
- transcription factor binding sites
- structural motifs
- psi blast
- protein classification
- contact maps
- multi layer perceptron
- secondary structure of proteins
- artificial neural networks
- protein folding
- protein interaction
- elman network
- rna sequences
- neural network model
- radial basis function
- distance measure
- remote homology detection
- protein data bank
- dna binding
- protein secondary structure prediction
- motif discovery
- dna sequences
- back propagation
- genetic algorithm
- motif finding
- sequence similarity
- rna secondary structures
- amino acid sequences
- genomic sequences
- physico chemical
- sequence databases
- secondary structure
- genome annotation