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Journal of chemical information and modeling · 2025

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

СтатьяНазвание и аннотация: Перевод в очереди
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Costa Vinícius Alexandre Fiaia, Motta Flávia Nader, Dos Santos Carvalho Alexandra Maria, Mendonça de Melo Felipe da Silva, Mottin Melina, Charneau Sébastien, Grellier Philippe, Martins Santana Jaime, Bastos Izabela Marques Dourado, Neves Bruno Junior

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты