mdxplain: Scalable molecular dynamics analysis with machine learning-based feature selection and modular workflows.
- DOI
- 10.1016/j.jmb.2026.169809
- Published
- 2026 Sep 15
- Container
- Journal of molecular biology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmb.2026.169809,
title = {mdxplain: Scalable molecular dynamics analysis with machine learning-based feature selection and modular workflows.},
author = {Salomon M and Pankonin M and Butler MB and Batebi H and Stadler PF and Hildebrand PW and Pérez-Hernández G},
year = {2026},
journal = {Journal of molecular biology},
doi = {10.1016/j.jmb.2026.169809},
url = {https://doi.org/10.1016/j.jmb.2026.169809}
}RIS
TY - JOUR TI - mdxplain: Scalable molecular dynamics analysis with machine learning-based feature selection and modular workflows. AU - Salomon M AU - Pankonin M AU - Butler MB AU - Batebi H AU - Stadler PF AU - Hildebrand PW AU - Pérez-Hernández G PY - 2026 JO - Journal of molecular biology DO - 10.1016/j.jmb.2026.169809 UR - https://doi.org/10.1016/j.jmb.2026.169809 ER -
APA
M, S., M, P., MB, B., H, B., PF, S., PW, H., & G, P. (2026). mdxplain: Scalable molecular dynamics analysis with machine learning-based feature selection and modular workflows.. Journal of molecular biology. https://doi.org/10.1016/j.jmb.2026.169809
Source records
- pubmed · retrieved 2026-09-25T05:05:02.581Z
- europe-pmc · retrieved 2026-09-25T05:05:02.621Z