PDID: Database of Experimental and Putative Drug Targets in Human Proteome
Document Type
Article
Publication Date
1-1-2019
Abstract
The paradigm in drug discovery has shifted from magic bullets targeting a single protein involved in a disease process to a systems level approach considering the inherent binding promiscuity of biopharmaceuticals. Multitarget drugs hold the promise to expand therapeutic possibilities, including polypharmacology and drug repurposing, and to provide better control over side effects. Nonetheless, drug-protein interaction networks are not only far more complicated than originally anticipated, but also sparsely and nonuniformly covered by experimental data. On that account, known interactions are often complemented by those predicted with high-throughput computational methods at the proteome scale. In this chapter, we describe the Protein-Drug Interaction Database (PDID), a new resource located at http://biomine.cs.vcu.edu/servers/PDID/that comprehensively covers experimental and putative drug-protein interactions. The PDID builds on annotations generated by three state-of-the-art predictors, eFindSite, SMAP, and ILbind, offering molecular level details for interacting molecules. This unique catalogue of biologically relevant interactions can be used to support a variety of studies related to network pharmacology.
Publication Source (Journal or Book title)
In Silico Drug Design Repurposing Techniques and Methodologies
First Page
827
Last Page
847
Recommended Citation
Wang, C., Brylinski, M., & Kurgan, L. (2019). PDID: Database of Experimental and Putative Drug Targets in Human Proteome. In Silico Drug Design Repurposing Techniques and Methodologies, 827-847. https://doi.org/10.1016/B978-0-12-816125-8.00028-6