AutoPocket2CREST: Automating Binding Pocket Extraction for the CREST Conformer Generation Pipeline
AutoPocket2CREST is an automated workflow for preparing protein-ligand binding pockets for CREST conformational sampling. Starting from protein and ligand structures, the method identifies the ligand, constructs a chemically consistent pocket around it, applies optional backbone constraints, and postprocesses CREST conformers to restore structural annotations. AutoPocket2CREST integrates common open-source tools and enables reproducible semiempirical conformational sampling of protein-bound ligands.
Authors
- T. Langer
- Benjamin Merget (ORCID: https://orcid.org/0000-0002-3882-596X)
- CHRISTIAN MATIAS FELLINGER
- Klaus-Juergen Schleifer (ORCID: https://orcid.org/0000-0003-3428-1384)
- András Szabadi (ORCID: https://orcid.org/0000-0002-6745-3181)
- Marion Sappl
Institutions
- University of Vienna (AT)
- Christian Doppler Laboratory for Thermoelectricity (AT)
- BASF (Germany) (DE)
- BOKU University (AT)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1021/acs.jcim.6c00569
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00