Prediction of Outer Membrane Proteins by Support Vector Machines Using Combinations of Gapped Amino Acid Pair Compositions.
Ssu-Hua HuangRu-Sheng LiuChien-Yu ChenYa-Ting ChaoShu-Yuan ChenPublished in: BIBE (2005)
Keyphrases
- amino acids
- amino acid sequences
- protein sequences
- support vector
- protein structure prediction
- contact maps
- tertiary structure
- protein function
- amino acid residues
- contact map
- physicochemical properties
- secondary structure
- protein structure
- physico chemical
- secondary structure prediction
- learning machines
- experimentally determined
- predicting protein
- biological sequences
- disordered regions
- prediction accuracy
- protein folding
- sequence alignment
- protein classification
- drug design
- sequence databases
- molecular biology
- psi blast
- intrinsically disordered
- support vector machine
- sequence analysis
- protein interaction
- computational biology
- pairwise
- machine learning