Predicting subsite interactions of plasmin with substrates and inhibitors through computational docking analysis

Abstract

Plasmin plays important roles in various physiological systems. The identification of inhibitors controlling its regulation represents a promising drug-discovery challenge. To develop selective inhibitors of plasmin, structural information of the binding modes is crucial. Here, a computational docking study was conducted to provide structural insight into plasmin subsite interactions with substrates/inhibitors. Predicted binding modes of two peptide-substrates (D/L-Ile-Phe-Lys), and potent and weak inhibitors (YO-2 and PKSI-527) suggested non-prime and prime subsite interactions relevant to recognition by plasmin. Predicted binding modes also correlated well with the experimental structure–activity relationships for plasmin substrates/inhibitors, namely the differences of KM values between the D- and L-peptide-substrates and inhibitory potencies of YO-2 and PKSI-527. In particular, interaction observed at a hydrophobic pocket near S2 and at a tunnel-shaped hydrophobic S1′ was strongly suggested to be significantly involved in tight binding of inhibitors to plasmin. Our present findings may aid in the design of potent and selective plasmin inhibitors.