ஜர்னல் ஆஃப் புரோட்டியோமிக்ஸ் & பயோ இன்ஃபர்மேடிக்ஸ்
திறந்த அணுகல்

சுருக்கம்

Diversity in the Interactions of Isoforms Linked to Clustered Transcripts: A Systematic Literature Analysis

Şenay Kafkas, Ekrem Varoğlu, Dietrich Rebholz-Schuhmann and Bahar Taneri

Existing protein-protein interactions databases cover only a portion of the interactome and interaction information on protein isoforms is underrepresented. This leads to a lack of information on the functional similarity of protein isoforms and the effects of transcript diversity on the protein interaction networks. We present a comprehensive automated literature analysis that extracts interactions involving human protein isoforms linked to clusters of transcripts with high sequence similarity and deliver them in a database called TBIID for knowledge discovery. We measure the interaction variability of the isoforms from the clustered transcripts by analysing the distribution of their interaction partners in TBIID. Almost all clusters analyzed (99%) contain isoforms with unique partners indicating that isoforms are specialized towards forming unique interactions and thus achieving functional diversity, which is similar to the results from public resources. TBIID is available at http://tbiid.emu.edu.tr containing most relevant candidates for future experiments focusing on understanding the isoform interaction networks and the resulting functional implications.