Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
Castrense SavojardoPiero FariselliPier Luigi MartelliRita CasadioPublished in: BMC Bioinform. (2013)
Keyphrases
- machine learning methods
- protein sequences
- subcellular localization
- machine learning
- machine learning algorithms
- machine learning approaches
- prediction accuracy
- protein structure prediction
- ensemble methods
- protein classification
- protein secondary structure
- drug design
- prediction model
- statistical methods
- contact maps
- prediction error
- contact map
- experimentally determined
- protein tertiary structure
- predicting protein
- protein structure
- learning algorithm
- protein secondary structure prediction
- protein function prediction
- protein interaction
- drug discovery
- data mining