eSPC: an online data-analysis platform for molecular biophysics

Acta Crystallogr D Struct Biol. 2021 Oct 1;77(Pt 10):1241-1250. doi: 10.1107/S2059798321008998. Epub 2021 Sep 24.

Abstract

All biological processes rely on the formation of protein-ligand, protein-peptide and protein-protein complexes. Studying the affinity, kinetics and thermodynamics of binding between these pairs is critical for understanding basic cellular mechanisms. Many different technologies have been designed for probing interactions between biomolecules, each based on measuring different signals (fluorescence, heat, thermophoresis, scattering and interference, among others). Evaluation of the data from binding experiments and their fitting is an essential step towards the quantification of binding affinities. Here, user-friendly online tools to analyze biophysical data from steady-state fluorescence spectroscopy, microscale thermophoresis and differential scanning fluorimetry experiments are presented. The modules of the data-analysis platform (https://spc.embl-hamburg.de/) contain classical thermodynamic models and clear user guidelines for the determination of equilibrium dissociation constants (Kd) and thermal unfolding parameters such as melting temperatures (Tm).

Keywords: Kd; Tm; binding affinity; differential scanning fluorimetry; eSPC; ligand screening; microscale thermophoresis; molecular biophysics; molecular interactions; online servers; open science; protein stability.

MeSH terms

  • Cyclic GMP-Dependent Protein Kinases / chemistry*
  • Cyclic GMP-Dependent Protein Kinases / metabolism*
  • Fluorescence*
  • Kinetics
  • Ligands
  • Mycobacterium tuberculosis / metabolism*
  • Online Systems*
  • Protein Binding
  • Spectrometry, Fluorescence
  • Temperature*
  • Thermodynamics*

Substances

  • Ligands
  • Cyclic GMP-Dependent Protein Kinases