Published March 20, 2026 | Version v2
Data paper Open

On the rise of AI technologies in virtual screening

  • 1. ROR icon Université de Strasbourg

Contributors

Project member:

  • 1. ROR icon Université de Strasbourg
  • 2. Rhizome Research Inc. Seattle, United States

Description

We provide the raw data to reproduce results presented in our manuscript "On the rise of AI technologies in virtual screening" submitted to JCIM. The data include:

  • The raw data required to reproduce ligand classification by Boltz-2 in the ULVSH dataset (TXT)
  • Structural models by Boltz-2 for all protein-ligand complexes in the ULVSH dataset (pymol sessions)
  • The docking hit lists from the LSD dataset analyzed in this work. These lists were produced by extracting the top-1000 post-docking hits per target and mixing them with all experimentally confirmed actives including those that were ranked lower by docking (CSV)

Files

LSD_top1k.zip

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Additional details

Funding

European Commission
ALLODD - Allostery in Drug Discovery 956314

Dates

Submitted
2025-12-03
Manuscript