Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
Rasna R. WaliaCornelia CarageaBenjamin A. LewisFadi TowficMichael TerribiliniYasser El-ManzalawyDrena DobbsVasant G. HonavarPublished in: BMC Bioinform. (2012)
Keyphrases
- contact map
- machine learning
- contact maps
- protein structure prediction
- amino acids
- protein structure
- secondary structure
- protein chains
- computational biology
- protein sequences
- subcellular localization
- protein secondary structure
- coarse grained
- rna secondary structure prediction
- prediction accuracy
- predicting protein
- drug design
- string kernels
- protein folding
- physico chemical
- rna secondary structures
- structural motifs
- protein tertiary structure
- text mining
- protein function
- data mining
- protein classification
- amino acid sequences
- amino acid residues
- remote homology detection
- decision trees
- machine learning algorithms
- machine learning methods
- sequence similarity
- protein secondary structure prediction
- information extraction
- user interface
- statistical methods
- feature selection
- molecular biology
- protein interaction
- learning algorithm
- mhc class ii