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Enlighten2: Molecular Dynamics Simulations of Protein-Ligand Systems Made Accessible

preprint
revised on 12.06.2020 and posted on 16.06.2020 by Kirill Zinovjev, Marc W. van der Kamp
Motivation: Experimental structural data can allow detailed insight into protein structure and protein-ligand interactions, which is crucial for many areas of bioscience, including drug design and enzyme engineering. Typically, however, little more than a static picture of protein-ligand interactions is obtained, whereas dynamical information is often required for deeper understanding and to assess the effect of mutations. Molecular dynamics (MD) simulations can provide such information, but setting up and running these simulations is not straightforward and requires expert knowledge. There is thus a need for a tool that makes protein-ligand simulation easily accessible to non-expert users.
Results: We present Enlighten2: efficient simulation protocols for protein-ligand systems alongside a user-friendly plugin to the popular visualization program PyMOL. With Enlighten2, non-expert users can straightforwardly run and visualize MD simulations on protein-ligand models of interest. There is no need to learn new programs and all underlying tools are free and open source.
Availability: The Enlighten2 Python package and PyMOL plugin are free to use under the GPL3.0 licence and can be found at https://enlighten2.github.io. We also provide a lightweight Docker image via DockerHub that includes Enlighten2 with all the required utilities.

Funding

BB/L018756/1

BB/M026280/1

EP/M013219/1

History

Email Address of Submitting Author

kirill.zinovjev@bristol.ac.uk

Institution

University of Bristol

Country

United Kingdom

ORCID For Submitting Author

0000-0003-1052-5698

Declaration of Conflict of Interest

none declared

Licence

Exports