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MAPRes: Mining association patterns among preferred amino acid residues in the vicinity of amino acids targeted for post-translational modifications
Authors:Ahmad Ishtiaq  Qazi Wajahat M  Khurshid Ahmed  Ahmad Munir  Hoessli Daniel C  Khawaja Iffat  Choudhary M Iqbal  Shakoori Abdul R;Nasir-ud-Din
Institution:Institute of Molecular Sciences and Bioinformatics, Lahore, Pakistan.
Abstract:Post-translational modification (PTM) of a protein is an important event in regulating cellular functions. An algorithm, MAPRes, has been developed for mining associations among PTM sites and the preferred amino acids in their vicinity. The algorithm has been implemented to O-glycosylation and O-phosphorylation data (phosphorylated/glycosylated Ser/Thr/Tyr). The association patterns mined by MAPRes demonstrate significant correlations and the results are in conformity with the existing methods. These association rules/patterns will be helpful in predicting the sequences/motifs involved for specific PTMs in proteins.
Keywords:Association rules  Data mining  Glycosylation  Phosphorylation  PTM
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