Prediction of the disulphide bonding state of cysteines in proteins using Conditional Random Fields.
Watshara ShoombuatongPatrinee TraisathitSukon PrasitwattanasereeChatchai TayapiwatanaRobert W. CutlerJeerayut ChaijaruwanichPublished in: Int. J. Data Min. Bioinform. (2011)
Keyphrases
- protein sequences
- protein structure prediction
- protein folding
- computational biology
- protein classification
- protein secondary structure
- secondary structure
- amino acid sequences
- amino acids
- protein structure
- protein function
- protein tertiary structure
- protein homology
- experimentally determined
- protein function prediction
- multiple sequence alignments
- molecular biology
- computational methods
- subcellular localization
- information extraction
- protein structural
- neural network
- drug design
- predicting protein
- prediction error
- state space
- hidden markov models