Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine.
Saeed AhmedMuhammad KabirMuhammad ArifZakir AliFarman AliZar Nawab Khan SwatiPublished in: Int. J. Data Min. Bioinform. (2018)
Keyphrases
- support vector machine
- stock market prediction
- subcellular localization
- prediction accuracy
- protein structure prediction
- protein interaction
- wet lab
- support vector
- multi class
- protein sequences
- drug design
- amino acids
- computational methods
- machine learning
- protein secondary structure
- protein tertiary structure
- protein homology
- prediction model
- feature selection
- web service composition
- protein protein interactions
- protein function
- protein structure
- predicting protein
- contact map
- protein classification
- kernel methods
- remote homology detection
- protein function prediction
- training set
- physicochemical properties
- feature space
- neural network