Computational and Structural Biotechnology Journal · 2022 · 10 citations · 58 references
PharmacyMedicinal ChemistryPharmacologyDrug DiscoveryEnzymologyLead OptimizationComputational Drug DiscoveryEnzyme InhibitionCathepsin ActivityHigh-throughput Virtual ScreeningImmune Cell CytotoxicityProteolytic ActivityProteolytic Enzyme ActivitySubstrate Binding SpecificityTherapeutic Target IdentificationTherapeutic Target Validation
Cathepsin V is a human lysosomal cysteine peptidase with specific functions during pathological processes and is as such a promising therapeutic target. Peptidase inhibitors represent powerful pharmacological tools for regulating excessive proteolytic activity in various diseases. Cathepsin V is highly related to cathepsin L but differs in tissue distribution, binding site morphology, substrate specificity, and function. To validate its therapeutic potential and extend the number of potent and selective cathepsin V inhibitors, we used virtual high-throughput screening of commercially available compound libraries followed by an evaluation of kinetic properties to identify novel potent and selective cathepsin V inhibitors. We identified the ureido methylpiperidine carboxylate derivative, compound 7, as a reversible, selective, and potent inhibitor of cathepsin V. It also exhibited the most preferable characteristics for further evaluation with in vitro functional assays that simulate the processes in which cathepsin V is known to play an important role. Compound 7 exerted significant effects on cell proliferation, elastin degradation, and immune cell cytotoxicity. The latter was increased because compound 7 impaired conversion of immunosuppressive factor cystatin F to its active monomeric form. Taken together, our results present novel potent inhibitors of cathepsin V and provide new hit compounds for detailed development and optimization. Further, we demonstrate that cathepsin V is a potential target for new approaches to cancer therapy.
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Open Babel: An open chemical toolbox
Noel M. O’Boyle, Michael Banck, Craig A. James et al. · Journal of Cheminformatics · 2011 · 11.1K citations · Full text
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