Dr. PIAS: an integrative system for assessing the druggability of protein-protein interactions

Background: The amount of data on protein-protein interactions (PPIs) available in public databases and in the literature has rapidly expanded in recent years. PPI data can provide useful information for researchers in pharmacology and medicine as well as those in interactome studies. There is urgent need for a novel methodology or software allowing the efficient utilization of PPI data in pharmacology and medicine. Results: To address this need, we have developed the ‘Druggable Protein-protein Interaction Assessment System’ (Dr. PIAS). Dr. PIAS has a meta-database that stores various types of information (tertiary structures, drugs/ chemicals, and biological functions associated with PPIs) retrieved from public sources. By integrating this information, Dr. PIAS assesses whether a PPI is druggable as a target for small chemical ligands by using a supervised machine-learning method, support vector machine (SVM). Dr. PIAS holds not only known druggable PPIs but also all PPIs of huma...

• Type: Journal
• Year: 2011
• Where: BMCBI
• Authors: Nobuyoshi Sugaya, Toshio Furuya
• Keywords: Artificial Intelligence, BMCBI 2011, PPI Data, Protein-protein Interaction, Urgent Need