Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids.
- DOI
- 10.1016/j.jmgm.2026.109581
- Published
- 2026 Sep 19
- Container
- Journal of molecular graphics & modelling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmgm.2026.109581,
title = {Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids.},
author = {Alexandrino DS and Rodrigues FAA and Santos SMG and Rocha Neto JFS and de Oliveira LCC},
year = {2026},
journal = {Journal of molecular graphics \& modelling},
doi = {10.1016/j.jmgm.2026.109581},
url = {https://doi.org/10.1016/j.jmgm.2026.109581}
}RIS
TY - JOUR TI - Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids. AU - Alexandrino DS AU - Rodrigues FAA AU - Santos SMG AU - Rocha Neto JFS AU - de Oliveira LCC PY - 2026 JO - Journal of molecular graphics & modelling DO - 10.1016/j.jmgm.2026.109581 UR - https://doi.org/10.1016/j.jmgm.2026.109581 ER -
APA
DS, A., FAA, R., SMG, S., JFS, R. N., & LCC, D. O. (2026). Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids.. Journal of molecular graphics & modelling. https://doi.org/10.1016/j.jmgm.2026.109581
Source records
- pubmed · retrieved 2026-09-25T11:56:45.802Z