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eSPC: an online data‐analysis platform for molecular biophysics.

Authors :
Burastero, Osvaldo
Niebling, Stephan
Defelipe, Lucas A.
Günther, Christian
Struve, Angelica
Garcia Alai, Maria M.
Source :
Acta Crystallographica: Section D, Structural Biology. Oct2021, Vol. 77 Issue 10, p1241-1250. 10p.
Publication Year :
2021

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). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09074449
Volume :
77
Issue :
10
Database :
Academic Search Index
Journal :
Acta Crystallographica: Section D, Structural Biology
Publication Type :
Academic Journal
Accession number :
152793072
Full Text :
https://doi.org/10.1107/S2059798321008998