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

@article{Ahmad2008MAPResMA,
  title={MAPRes: Mining association patterns among preferred amino acid residues in the vicinity of amino acids targeted for post‐translational modifications},
  author={Ishtiaq Ahmad and W. Qazi and Ahmed Khurshid and Munir Ahmad and D. Hoessli and Iffat Khawaja and M. Choudhary and A. Shakoori and Nasir-ud-din},
  journal={PROTEOMICS},
  year={2008},
  volume={8}
}
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… Expand
Influence of the sequence environment and properties of neighboring amino acids on amino‐acetylation: Relevance for structure‐function analysis
Phosphoproteome sequence analysis and significance: Mining association patterns around phosphorylation sites utilizing MAPRes
Exploring the Sequence Context of Phosphorylatable Amino Acids: The Contribution of the Upgraded MAPRes Tool
GEARS: a genetic algorithm based machine learning technique to develop prediction models.
Role Of O-GlcNAc Transferase In Metabolic Order And Disorder

References

SHOWING 1-10 OF 33 REFERENCES
Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.
Predicting O-glycosylation sites in mammalian proteins by using SVMs
The importance of intrinsic disorder for protein phosphorylation.
Database analysis of O-glycosylation sites in proteins.
Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs
...
1
2
3
4
...