Screening of Small Molecule Libraries Using Combined Text Mining, Ligand- and Target-Driven Based Approaches for Identification of Novel Granzyme H Inhibitors

Abstract Granzymes are serine proteases synthesized by CTL and NK cells. Five granzyme genes (GzmA, -B, -H, -K, -M) are present in humans, which are located at three different chromosomal loci. Being serine proteases, the binding pocket constitutes a catalytic triad (i.e., His59, Asp103 and Ser197). Granzymes are released into target (cancerous and virally infected) cells by a specialized process known as granule exocytosis pathway. After internalization, these proteases initiate apoptosis. Granzymes are also involved in other non-apoptotic immune associated roles like ECM remodeling, cytokine modulation, killing of pathogens through generation of phagosomes. Their intracellular activity is regulated by specialized inhibitors knows as SERPINs. However, if these proteases are secreted in excess into the extracellular environment, their regulation becomes important as otherwise they start self-damage to the tissues thereby worsening the disease conditions. Efforts are being made to identify potential inhibitors for regulation of these proteases in an extracellular environment. Physiological and synthetic inhibitors have been reported against some members however there is no known inhibitor against extracellular human GzmH. Thus, in the current study, we investigated small molecule databases for the identification of potential molecules having the ability to inhibit GzmH by combined molecular simulations, which can ultimately be used as a potential therapeutic agent.