Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
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Updated
Jul 23, 2026 - Python
Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
Public development project of the LAMMPS MD software package
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Detect and characterize binding pockets from molecular simulations.
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Dynamic pharmacophore modeling of molecular interactions
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Powerful, efficient particle trajectory analysis in scientific Python.
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