Enlighten2: molecular dynamics simulations of protein-ligand systems made accessible

Kirils Zinovjev, Marc W Van Der Kamp*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

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.
Original languageEnglish
Article numberbtaa643
JournalBioinformatics
DOIs
Publication statusAccepted/In press - 11 Jul 2020

Structured keywords

  • Bristol BioDesign Institute

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