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Peer-reviewedCC BY 4.0Journal of Cheminformatics

PCAM: proteochemometric assay-aware modeling for robust bioactivity estimation and uncertainty quantification

  • Bola Khalil
  • David Alencar Araripe
  • Linde Schoenmaker
  • Natalia Dyubankova
  • Herman van Vlijmen
  • Gerard J. P. van Westen
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{khalil2026pcam,
  title = {{PCAM: proteochemometric assay-aware modeling for robust bioactivity estimation and uncertainty quantification}},
  author = {Bola Khalil and David Alencar Araripe and Linde Schoenmaker and Natalia Dyubankova and Herman van Vlijmen and Gerard J. P. van Westen},
  journal = {Journal of Cheminformatics},
  year = {2026},
  month = oct,
  doi = {10.1186/s13321-026-01316-0},
  url = {https://link.springer.com/article/10.1186/s13321-026-01316-0},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - PCAM: proteochemometric assay-aware modeling for robust bioactivity estimation and uncertainty quantification
AU  - Bola Khalil
AU  - David Alencar Araripe
AU  - Linde Schoenmaker
AU  - Natalia Dyubankova
AU  - Herman van Vlijmen
AU  - Gerard J. P. van Westen
PY  - 2026
DA  - 2026/10/25
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-026-01316-0
UR  - https://link.springer.com/article/10.1186/s13321-026-01316-0
SN  - 1758-2946
ER  -