MAPRes: Mining association patterns among preferred amino acid residues in the vicinity of amino acids targeted for post-translational modifications

被引:9
|
作者
Ahmad, Ishtiaq [1 ]
Qazi, Wajahat M. [1 ]
Khurshid, Ahmed [1 ]
Ahmad, Munir [2 ]
Hoessli, Daniel C. [3 ]
Khawaja, Iffat [1 ]
Choudhary, M. Iqbal [4 ]
Shakoori, Abdul R. [5 ]
Nasir-Ud-Din [1 ,4 ,6 ]
机构
[1] Inst Mol Sci & Bioinformat, Lahore, Pakistan
[2] Natl Coll Business Adm & Econ, Lahore, Pakistan
[3] Ctr Med Univ Geneva, Dept Pathol & Immunol, Geneva, Switzerland
[4] Univ Karachi, HEJ Res Inst Chem, Karachi 32, Pakistan
[5] Univ Punjab, Sch Biol Sci, Lahore, Pakistan
[6] Inst Management Sci, Geneva, Switzerland
关键词
association rules; data mining; glycosylation; phosphorylation; PTM;
D O I
10.1002/pmic.200700657
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1954 / 1958
页数:5
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