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Published December 3, 2025 | Version v1
Data paper Open

On the rise of AI technologies for virtual screening

  • 1. ROR icon Université de Strasbourg

Contributors

Project member:

  • 1. ROR icon Université de Strasbourg

Description

Here we provide raw data to reproduce results presented in our recent manuscript "On the rise of AI technologies for virtual screening" submitted to JCIM. The data allow to:

  • reproduce the ROC curves based on Boltz-2 predictions for all targets of the ULVSH dataset (ZIP)
  • analyse the Boltz-2 classifications based on different sets of runtime parameters (XLS)
  • explore the structural models predicted by Boltz-2 for all protein-ligand complexes of the ULVSH dataset (pymol sessions, PSE)

Files

boltz2-default.zip

Files (1.0 GB)

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md5:577143e52c7566ad9da766e8f7939ab8
59.3 MB Download
md5:9836c51fa292a3c29a586dc440793f16
172.0 MB Download
md5:2f209134b9b1128301f5d3638d1f80e1
52.2 MB Download
md5:d27b1f51c3a17a583b35781fde68fb1b
78.2 MB Download
md5:e5aab9a4d8866c0087d3d98c6a9eed85
38.9 MB Download
md5:39cddce3a914366b09e3edaa00e1bfb1
325.6 MB Download
md5:486440381ae72704908273ce9f9dba46
50.1 MB Download
md5:6586642ccf545f232051ebde062310c7
77.0 MB Download
md5:8dafafd23fb58f05412181c90ce9927a
49.4 MB Download
md5:430f9f38b53afceb88e921c1df6375c3
98.7 MB Download
md5:9db2ff8e0f53b856403762130a04dda6
11.1 kB Preview Download
md5:d1c67df7465f4e1c9d11670b4e02f280
24.7 kB Download
md5:1d178cfb3ac29f7cc6a9ecb38b323f3e
2.1 kB Download

Additional details

Funding

European Commission
ALLODD - Allostery in Drug Discovery 956314

Dates

Submitted
2025-12-03
Manuscript