ArticleDatabase : the journal of biological databases and curation2012
Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactions.
Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03269474 (Computational Drug Repurposing for All Epidermolysis Bullosa Simplex), which is not on this map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Computational Drug Repurposing for All Epidermolysis Bullosa Simplex (EBS) Cases
Who cites it
6 citing papers in PubMed.
- Recent advances in anti-inflammatory active components and action mechanisms of natural medicines.Inflammopharmacology · 2023Review
- PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.Bioinformatics (Oxford, England) · 2016Article
- Structure-based inhibition of protein-protein interactions.European journal of medicinal chemistry · 2015Review
- Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network.BMC bioinformatics · 2014Article
- Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment.Genome medicine · 2014Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Druggable Protein-protein Interaction Assessment System (Dr. PIAS) is a database of druggable protein-protein interactions (PPIs) predicted by our support vector machine (SVM)-based method. Since the first publication of this database, Dr. PIAS has been updated to version 2.0. PPI data have been increased considerably, from 71,500 to 83,324 entries. As the new positive instances in our method, 4 PPIs and 10 tertiary structures have been added. This addition increases the prediction accuracy of our SVM classifier in comparison with the previous classifier, despite the number of added PPIs and structures is small. We have introduced the novel concept of 'similar positives' of druggable PPIs, which will help researchers discover small compounds that can inhibit predicted druggable PPIs. Dr. PIAS will aid the effective search for druggable PPIs from a mine of interactome data being rapidly accumulated. Dr. PIAS 2.0 is available at http://www.drpias.net.
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Registered trials
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