Matching drug binding pockets in protein models using sequence order-independent structure alignments.
Drugs are typically developed to modulate the function of specific proteins, which are directly associated with particular disease states. Nonetheless, protein-drug interactions are rather promiscuous and the majority of pharmaceuticals exhibit activity against multiple, often unrelated targets; for instance, ATP-dependent DNA ligase and histamine N-methyltransferase shown here bind the same compound. To detect those binding sites having the capability to bind similar molecules, Michal Brylinski developed eMatchSite, which constructs local sequence order-independent alignments using computer-generated protein models. This approach opens up the possibility to investigate drug-protein interactions for complete proteomes with prospective systems-level applications in polypharmacology and rational drug repositioning.
Image Credit: Michal Brylinski