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

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.

    PMID: 34605428
    PMCID: PMC8489228
    Funding: - H2020 Marie Skłodowska-Curie Actions: 664726

    Links