Published July 8, 2026
| Version v0.3.1
Software
Open
Lacuna: Cryptic Binding Pocket Discovery via Conformational Ensemble Analysis
Authors/Creators
Description
Lacuna discovers cryptic binding pockets in proteins by generating a conformational ensemble, detecting pockets per conformer, clustering across the ensemble, and ranking by a continuous crypticity score. Evaluated on 22 cryptic-pocket apo/holo pairs (7/22, 32% under a size-robust Jaccard-or-centroid criterion; 59% under the legacy size-gameable recall metric). Uses an Anisotropic Network Model backend on CPU (~1-8 s/protein).
Notes
Files
mooreneural/lacuna-v0.3.1.zip
Files
(8.6 MB)
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md5:3038a3b4cad4bac7fd0a8933cad3f72b
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Additional details
Related works
- Is supplement to
- Software: https://github.com/mooreneural/lacuna/tree/v0.3.1 (URL)
Software
- Repository URL
- https://github.com/mooreneural/lacuna