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Discovering Influenza Virus Neuraminidase Inhibitors via Computational and Experimental Studies

Trung Hai Nguyen, Ngoc Quynh Anh Pham, Quynh Mai Thai, Van V. Vu, Sơn Tùng Ngô, Jim‐Tong Horng

2024ACS Omega9 citationsDOIOpen Access PDF

Abstract

Influenza A and B viruses spread out worldwide, causing several global concerns. Discovering neuraminidase inhibitors to prevent influenza A and B viruses is thus of great interest. In this work, a machine learning model was trained and tested to evaluate the ligand-binding affinity to neuraminidase. The model was then used to predict the binding affinity of compounds from the CHEMBL database, which is a manually curated database of bioactive molecules with drug-like properties. The physical insights into the binding process of ligands to neuraminidase were clarified via molecular docking and molecular dynamics simulations. Experimental investigation on enzymatic activity validated our computational results and suggested that 2 compounds were potential inhibitors of neuraminidase of the influenza A and B viruses.

Topics & Concepts

NeuraminidaseVirologyVirusNeuraminidase inhibitorComputer scienceComputational biologyMedicineBiologyCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Internal medicineDiseaseInfluenza Virus Research StudiesComputational Drug Discovery MethodsProtein Structure and Dynamics
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