Molecular function-guided unsupervised similarity-based enrichment for low-data virtual screening

Alexander Hagg, Dirk Reith, Matthias Preller, Karl N. Kirschner

Open source

DOI: 10.1186/s13321-026-01326-y
Published: 2026-11-06
Container: Journal of Cheminformatics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13321-026-01326-y,
  title = {Molecular function-guided unsupervised similarity-based enrichment for low-data virtual screening},
  author = {Alexander Hagg and Dirk Reith and Matthias Preller and Karl N. Kirschner},
  year = {2026},
  journal = {Journal of Cheminformatics},
  doi = {10.1186/s13321-026-01326-y},
  url = {https://doi.org/10.1186/s13321-026-01326-y}
}

RIS

TY  - JOUR
TI  - Molecular function-guided unsupervised similarity-based enrichment for low-data virtual screening
AU  - Alexander Hagg
AU  - Dirk Reith
AU  - Matthias Preller
AU  - Karl N. Kirschner
PY  - 2026
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-026-01326-y
UR  - https://doi.org/10.1186/s13321-026-01326-y
ER  -

APA

Hagg, A., Reith, D., Preller, M., & Kirschner, K. N. (2026). Molecular function-guided unsupervised similarity-based enrichment for low-data virtual screening. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01326-y

Source records

crossref · retrieved 2026-11-10T23:31:54.257Z