/IPZ

Primary LanguageJupyter NotebookMIT LicenseMIT

Team W2

Collaborators: Maria Bochenek, Tomasz Cheda, Mateusz Janduła, Agnieszka Kowalewska, Joanna Krawczyk

Project Title: Comparison of pharmacophore-based and ML approach to finding inhibitors of COVID-19 NSP13 helicase

Introduction

We explored two different approaches to identify potential inhibitors of Sars-Cov-2 Nsp13 helicase: pharmacophore-based and ML-based. In the first, more standard approach we used MGLTools (ligand and docking-box preparation, visualisations), AutoDock Vina (docking and redocking) and PyMol (visualizations). Then, we performed receptor-based pharmacophore construction and virtual screening using Schroedinger Maestro Phase software. In the second approach, we used DiffDock for generating ligand poses and scored them with GNINA.

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