Benchmarking molecular representations and machine learning algorithms for asymmetric catalysis: a palladium-catalysed decarboxylative asymmetric allylic alkylation case study.
- DOI
- 10.1186/s13321-026-01236-z
- Published
- 2026 Jun 12
- Container
- Journal of cheminformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13321-026-01236-z,
title = {Benchmarking molecular representations and machine learning algorithms for asymmetric catalysis: a palladium-catalysed decarboxylative asymmetric allylic alkylation case study.},
author = {Aguilar-Bejarano E and Galvin D and Rogers DM and Özcan E and Woodward S and Guiry PJ and Figueredo G},
year = {2026},
journal = {Journal of cheminformatics},
doi = {10.1186/s13321-026-01236-z},
url = {https://doi.org/10.1186/s13321-026-01236-z}
}RIS
TY - JOUR TI - Benchmarking molecular representations and machine learning algorithms for asymmetric catalysis: a palladium-catalysed decarboxylative asymmetric allylic alkylation case study. AU - Aguilar-Bejarano E AU - Galvin D AU - Rogers DM AU - Özcan E AU - Woodward S AU - Guiry PJ AU - Figueredo G PY - 2026 JO - Journal of cheminformatics DO - 10.1186/s13321-026-01236-z UR - https://doi.org/10.1186/s13321-026-01236-z ER -
APA
E, A., D, G., DM, R., E, Ö., S, W., PJ, G., & G, F. (2026). Benchmarking molecular representations and machine learning algorithms for asymmetric catalysis: a palladium-catalysed decarboxylative asymmetric allylic alkylation case study.. Journal of cheminformatics. https://doi.org/10.1186/s13321-026-01236-z
Source records
- pubmed · retrieved 2026-09-26T13:00:55.704Z