Bibliographic citations
Hashimoto, M., Sánchez, A. (2024). Búsqueda de potenciales inhibidores del ensamblaje de la cápside del virus de la hepatitis B mediante el tamizaje virtual masivo basado en farmacóforo [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/673055
Hashimoto, M., Sánchez, A. Búsqueda de potenciales inhibidores del ensamblaje de la cápside del virus de la hepatitis B mediante el tamizaje virtual masivo basado en farmacóforo [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/673055
@misc{renati/415427,
title = "Búsqueda de potenciales inhibidores del ensamblaje de la cápside del virus de la hepatitis B mediante el tamizaje virtual masivo basado en farmacóforo",
author = "Sánchez Sánchez, Andrea Alexa",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Introduction: Hepatitis B virus (HBV) infection is a global health problem due to its high risk of chronicity and mortality, in addition to the limited therapeutic options. Capsid assembly modulators represent an attractive therapeutic alternative. Objectives: Design, refine and evaluate In silico pharmacophoric models to search for potential inhibitors of HBV capsid assembly using a massive virtual screening platform. Methods: An In silico experimental study was conducted to design, refine, and validate two pharmacophoric models through ligand-based and structure-based approaches. These were used to perform a massive virtual screening of the ChEMBL28 database of 2,680,904 molecules. Additionally, a molecular docking protocol was validated to analyze the hits. Results: Both models were theoretically validated and demonstrated an excellent performance (Ligand-based: Sensitivity: 90%, Specificity: 98%, AUC-ROC: 94% | Structure-based: Sensitivity: 100%, Specificity: 97%, AUC-ROC: 98%). As a result of the massive virtual screening, 500 hits were found, which were analyzed by molecular docking with cavity D of the 5E0I crystal. 14 potential inhibitors of HBV capsid assembly were identified, highlighting the compounds UPC_VHB001, UPC_VHB002 and UPC_VHB009. Conclusions: Two pharmacophoric models for the HAP series through ligand-based and structure-based approaches were designed, refined and evaluated In silico. Massive virtual screening and molecular docking analysis allowed the identification of 14 potential inhibitors of HBV capsid assembly.
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