Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors.
Feng XiaoHong-Bin ShenPublished in: J. Chem. Inf. Model. (2015)
Keyphrases
- solvent accessibility
- protein sequences
- machine learning
- protein structure
- protein structure prediction
- computational biology
- amino acids
- amino acid residues
- amino acid sequences
- contact map
- secondary structure
- prediction accuracy
- contact maps
- protein chains
- protein classification
- decision trees
- protein function
- data mining
- molecular biology
- machine learning methods
- protein secondary structure
- subcellular localization
- predicting protein
- drug design
- learning algorithm
- feature selection
- image processing
- prediction scheme
- protein folding
- text mining
- user preferences
- image enhancement
- information extraction
- protein function prediction
- machine learning algorithms
- computational methods
- experimentally determined
- statistical methods
- natural language processing
- coarse grained
- protein protein interactions
- protein functional
- wet lab
- prediction model