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Authors
Samuel C. Musson (0000-0002-2189-554X), Matteo T. Degiacomi (0000-0003-4672-471X)
Citation
Musson et al., (2023). Molearn: a Python package streamlining the design of generative models of biomolecular dynamics. Journal of Open Source Software, 8(89), 5523, https://doi.org/10.21105/joss.05523
@article{Musson2023,
doi = {10.21105/joss.05523},
url = {https://doi.org/10.21105/joss.05523},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {89},
pages = {5523},
author = {Samuel C. Musson and Matteo T. Degiacomi},
title = {Molearn: a Python package streamlining the design of generative models of biomolecular dynamics},
journal = {Journal of Open Source Software}
}
Tags
machine learning molecular dynamics proteins
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