Ensembler: a simple package for fast prototyping and teaching molecular simulations
Research output: Contribution to journal › Article › peer-review
Ensembler is a Python package that enables method prototyping using 1D and 2D model systems and allows deepening of the understanding of different molecular dynamics (MD) methods, starting from basic techniques to enhanced sampling and free-energy approaches. The ease of installing and using the package increases shareability, comparability, and reproducibility of scientific code developments. Here, we describe the implementation and usage of the package and provide an application example for free-energy calculation. The code of Ensembler is freely available on GitHub at https://github.com/rinikerlab/Ensembler.
|Number of pages||5|
|Journal||Journal of Chemical Information and Modeling|
|Publication status||Published - 29 Jan 2021|
Rights statement: This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Chemical Information and Modeling, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jcim.0c01283.
Accepted author manuscript (Post-print), 459 KB, PDF document
Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 29/01/22