A bioinformatics-based approach for the prediction and identification of novel proteins potentially involved in phosphorylation signalling pathways
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- Published online on: September 1, 2003 https://doi.org/10.3892/ijmm.12.3.391
- Pages: 391-397
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Abstract
Together with the explosion in the availability of genome data of a number of organisms including human and mouse, various methods and programs for computational prediction of protein-coding genes and annotation of functional proteins have dramatically increased. For the last decade there has been intense interest in the role of protein phosphorylation which is involved in post-translation modification mechanisms critically regulating inter/intracellular communication, patho/physiological responses and homeostasis during many biological processes. In the present study a total of 202 functionally uncharacterized human full-coding cDNA sequences were investigated using a bioinformatics-based approach. Ten novel potential substrates for protein kinases have been identified which may play multiple roles in regulating intracellular phosphorylation signalling pathways. In addition, 5 of those may be involved in the human-only post-translation mechanism regulated by specific protein kinases. The data presented here therefore would greatly contribute toward the understanding of human molecular basis and cellular signalling networks.