title: MAPRes: Mining association patterns among preferred amino acid residues in the vicinity of amino acids targeted for post-translational modifications.
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.
authors.affiliation: Institute of Molecular Sciences and Bioinformatics, Lahore, Pakistan.
authors.forename: Ishtiaq
authors.initials: I
authors.lastname: Ahmad
authors.forename: Wajahat M
authors.initials: WM
authors.lastname: Qazi
authors.forename: Ahmed
authors.initials: A
authors.lastname: Khurshid
authors.forename: Munir
authors.initials: M
authors.lastname: Ahmad
authors.forename: Daniel C
authors.initials: DC
authors.lastname: Hoessli
authors.forename: Iffat
authors.initials: I
authors.lastname: Khawaja
authors.forename: M Iqbal
authors.initials: MI
authors.lastname: Choudhary
authors.forename: Abdul R
authors.initials: AR
authors.lastname: Shakoori
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000378:metabolism*; D006031:Glycosylation; D010766:Phosphorylation; D011499:Protein Processing, Post-Translational
chemical_list: D000596:Amino Acids