PNNL-Predictive-Phenomics/ProCaliper
ProCaliper is a Python library that curates, organizes, and computes protein structure features in a way that easily interfaces with user-provided experimental data. It extracts or computes protein binding site, active site, charge, pLDDT (order/disorder), acid dissociation, protonation, solvent accessible surface area, disulfide bond distance, and protein secondary structure data using precomputed protein structures and publicly available databases. It provides a unified API for integrating additional residue-level data and for visualizing residue features in 3D.
Authors
- Lindsey Anderson (ORCID: https://orcid.org/0000-0002-8741-7823)
- Jordan C. Rozum (ORCID: https://orcid.org/0000-0002-4356-9809)
- Song Feng (ORCID: https://orcid.org/0000-0003-3983-9009)
- Alexandria K. Im (ORCID: https://orcid.org/0009-0009-7764-0632)
- Hunter Ufford
Institutions
- Pacific Northwest National Laboratory (US)
Publication Details
- Journal
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.11578/dc.20250514.1
- Type
- article