eSPC
eSPC analyzes biophysical binding and stability data to quantify protein-ligand, protein-peptide, and protein-protein interactions and to extract thermodynamic parameters for molecular biophysics studies.
Key Features:
- Support for Multiple Technologies: Integrates steady-state fluorescence spectroscopy, microscale thermophoresis, and differential scanning fluorimetry and handles signals including fluorescence, heat, thermophoresis, scattering, and interference.
- Data Analysis Modules: Applies classical thermodynamic models to fit experimental binding and unfolding data.
- Quantification of Binding Affinities: Determines equilibrium dissociation constants (K_d) from binding experiments.
- Thermal Unfolding Parameters: Extracts melting temperatures (T_m) and other thermal unfolding parameters to assess protein stability and conformational changes.
Scientific Applications:
- Drug Discovery: Analysis of protein-ligand interactions to support selection of high-affinity ligands.
- Protein Engineering: Use of interaction and stability metrics to inform design of more stable or functional protein variants.
- Cellular Mechanism Elucidation: Quantification of protein-protein and protein-peptide interactions to investigate cellular pathways and mechanisms.
Methodology:
Experimental data are fitted to classical thermodynamic models to determine parameters such as K_d and T_m, using inputs from steady-state fluorescence spectroscopy, microscale thermophoresis, and differential scanning fluorimetry and accommodating signals of fluorescence, heat, thermophoresis, scattering, and interference.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Windows, Linux
- Programming Languages:
- R
- Added:
- 5/9/2022
- Last Updated:
- 5/9/2022
Operations
Data Inputs & Outputs
Nucleic acid thermodynamic property calculation
Inputs
Outputs
Publications
Burastero O, Niebling S, Defelipe LA, Günther C, Struve A, Garcia Alai MM. eSPC: an online data-analysis platform for molecular biophysics. Acta Crystallographica Section D Structural Biology. 2021;77(10):1241-1250. doi:10.1107/s2059798321008998. PMID:34605428. PMCID:PMC8489228.