ArticleBMC bioinformatics2011
Dr. PIAS: an integrative system for assessing the druggability of protein-protein interactions.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Inhibition of FOXP3 by stapled alpha-helical peptides dampens regulatory T cell function.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Synergistic drug combinations from electronic health records and gene expression.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Small molecules, big targets: drug discovery faces the protein-protein interaction challenge.Nature reviews. Drug discovery · 2016Review
- PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.Bioinformatics (Oxford, England) · 2016Article
- 2P2I HUNTER: a tool for filtering orthosteric protein-protein interaction modulators via a dedicated support vector machine.Journal of the Royal Society, Interface · 2014Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Using a fragment-based approach to target protein-protein interactions.Chembiochem : a European journal of chemical biology · 2013Article
- Trinucleotide repeats: a structural perspective.Frontiers in neurology · 2013Article
- Virus-host interactomes--antiviral drug discovery.Current opinion in virology · 2012Review
- Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactions.Database : the journal of biological databases and curation · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
resultsTo 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 human, mouse, rat, and human immunodeficiency virus (HIV) proteins identified to date.
conclusionsThe design concept of Dr. PIAS is distinct from other published PPI databases in that it focuses on selecting the PPIs most likely to make good drug targets, rather than merely collecting PPI data.
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