Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods.
Castrense SavojardoPiero FariselliPier Luigi MartelliPriyank ShuklaRita CasadioPublished in: CIBB (2010)
Keyphrases
- machine learning methods
- amino acids
- protein sequences
- contact map
- protein structure
- machine learning
- protein structure prediction
- machine learning algorithms
- ensemble methods
- contact maps
- protein function
- amino acid sequences
- protein folding
- protein tertiary structure
- prediction accuracy
- machine learning approaches
- physicochemical properties
- tertiary structure
- protein chains
- experimentally determined
- secondary structure
- statistical methods
- multiple sequence alignments
- protein secondary structure
- decision trees
- learned knowledge
- protein function prediction
- protein interaction
- subcellular localization
- prediction model