Structure-Based Identification of Non-covalent Prolyl Oligopeptidase 80 Inhibitors Targeting Trypanosoma cruzi Cell Entry.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Vinícius Alexandre Fiaia Costa, Flávia Nader Motta, Alexandra Maria Dos Santos Carvalho, Felipe da Silva Mendonça de Melo, Melina Mottin, Sébastien Charneau, Philippe Grellier, Jaime Martins Santana, Izabela Marques Dourado Bastos, Bruno Junior Neves
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引用次数: 0

Abstract

Chagas disease remains a persistent public health challenge due to the limited efficacy and significant toxicity of current pharmacological treatments. This highlights the urgent need for novel drugs with innovative mechanisms of action, specifically targeting cell infection pathways. The prolyl oligopeptidase of Trypanosoma cruzi (POPTc80) has emerged as a promising target for developing inhibitors to block the parasite's infection process. In this study, we developed a robust structure-based virtual screening pipeline to discover potent POPTc80 inhibitors. The customized protocol integrated structural analysis of the 3D structure of POPTc80 and enrichment analysis of molecular docking and shape-based models to optimize the selection of potential inhibitors. After optimization, a large-scale virtual screening of 1.3 million compounds prioritized 19 putative hits for experimental validation. Nine of these compounds demonstrated inhibitory activity at nanomolar concentrations. The most potent inhibitors─LC-44 (Ki = 0.175 μM), LC-45 (Ki = 0.054 μM), LC-46 (Ki = 0.513 μM), LC-50 (Ki = 0.44 μM), LC-53 (Ki = 0.158 μM), and LC-55 (Ki = 0.83 μM)─demonstrated superior inhibitory activity, consistent with the competitive inhibition mechanism predicted by our computational protocol. Subsequently, a phenotypic assay confirmed their ability to effectively inhibit T. cruzi entry into host cells in a dose-dependent manner, further validating their mechanism of action. These findings establish these compounds as promising chemical scaffolds for prospective hit-to-lead optimization, offering a unique opportunity to develop novel, mechanism-driven therapeutics targeting a critical step in the parasite's infection process.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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