Distribution-preserved sampling (DPS) for smarter machine learning assisted ultra-large-scale virtual screening.

Trachtenberg A, Spelkov A, Akabayov B

DOI: 10.1039/d6ra00279j
Published: 2026 Apr 24
Container: RSC advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6ra00279j,
  title = {Distribution-preserved sampling (DPS) for smarter machine learning assisted ultra-large-scale virtual screening.},
  author = {Trachtenberg A and Spelkov A and Akabayov B},
  year = {2026},
  journal = {RSC advances},
  doi = {10.1039/d6ra00279j},
  url = {https://doi.org/10.1039/d6ra00279j}
}

RIS

TY  - JOUR
TI  - Distribution-preserved sampling (DPS) for smarter machine learning assisted ultra-large-scale virtual screening.
AU  - Trachtenberg A
AU  - Spelkov A
AU  - Akabayov B
PY  - 2026
JO  - RSC advances
DO  - 10.1039/d6ra00279j
UR  - https://doi.org/10.1039/d6ra00279j
ER  -

APA

A, T., A, S., & B, A. (2026). Distribution-preserved sampling (DPS) for smarter machine learning assisted ultra-large-scale virtual screening.. RSC advances. https://doi.org/10.1039/d6ra00279j

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pubmed · retrieved 2026-09-25T21:40:06.725Z