Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.

ABSTRACT:

Background

The knowledge about proteins with specific interaction capacity to the protein partners is very important for the modeling of cell signaling networks. However, the experimentally-derived data are sufficiently not complete for the reconstruction of signaling pathways. This problem can be solved by the network enrichment with predicted protein interactions. The previously published in silico method PAAS was applied for prediction of interactions between protein kinases and their substrates.

Results

We used the method for recognition of the protein classes defined by the interaction with the same protein partners. 1021 protein kinase substrates classified by 45 kinases were extracted from the Phospho.ELM database and used as a training set. The reasonable accuracy of

SUBMITTER: Sobolev B 

PROVIDER: S-EPMC3098073 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature