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Updated: Oct 13, 2025

Modeling an Enzyme Active Site using Molecular Visualization Freeware
Published on: December 25, 2021
Modelling the active SARS-CoV-2 helicase complex as a basis for structure-based inhibitor design
Dénes Berta1,2, Magd Badaoui1,2, Sam Alexander Martino1,2
1Department of Physics and Astronomy, University College London London WC1E 6BT UK e.rosta@ucl.ac.uk.
Abstract:
The RNA helicase (non-structural protein 13, NSP13) of SARS-CoV-2 is essential for viral replication, and it is highly conserved among the coronaviridae family, thus a prominent drug target to treat COVID-19. We present here structural models and dynamics of the helicase in complex with its native substrates based on thorough analysis of homologous sequences and existing experimental structures. We performed and analysed microseconds of molecular dynamics (MD) simulations, and our model provides valuable insights to the binding of the ATP and ssRNA at the atomic level. We identify the principal motions characterising the enzyme and highlight the effect of the natural substrates on this dynamics. Furthermore, allosteric binding sites are suggested by our pocket analysis. Our obtained structural and dynamical insights are important for subsequent studies of the catalytic function and for the development of specific inhibitors at our characterised binding pockets for this promising COVID-19 drug target.
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