Prediction of neddylation sites from protein sequences and sequence-derived properties.
Ahmet Sinan YavuzNamik Berk SözerOsman Ugur SezermanPublished in: BMC Bioinform. (2015)
Keyphrases
- protein sequences
- physico chemical
- multiple sequence alignments
- biological sequences
- sequence analysis
- protein secondary structure
- experimentally determined
- protein families
- protein structure prediction
- protein classification
- computational biology
- psi blast
- amino acids
- protein structural
- structural motifs
- sequence alignment
- secondary structure
- sequence databases
- multiple alignment
- tertiary structure
- prediction accuracy
- solvent accessibility
- sequence similarity
- multiple sequence alignment
- genome sequences
- protein structure
- amino acid sequences
- physicochemical properties
- rna sequences
- website
- remote homology detection
- protein structure and function
- protein secondary structure prediction
- protein function
- molecular biology
- amino acid composition
- coarse grained
- machine learning
- disordered regions
- sequential patterns
- genetic algorithm