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Predicting Metal-Binding Sites of Protein Residues
2015
Position Papers of the 2015 Federated Conference on Computer Science and Information Systems
Metal ions in protein are critical to the function, structure and stability of protein. For this reason accurate prediction of metal binding sites in protein is very important. Here, we present our study which is performed for predicting metal binding sites for histidines (HIS) and cysteines from protein sequence. Three different methods are applied for this task: Support Vector Machine (SVM), Naive Bayes and Variable-length Markov chain. All these methods use only sequence information to
doi:10.15439/2015f391
dblp:conf/fedcsis/KucukbayO15
fatcat:qlc6ldzmwrg2nlpysbjdo27ysu