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Artículo

eSPC: An online data-analysis platform for molecular biophysics

Burastero, OsvaldoIcon ; Niebling, Stephan; Defelipe, Lucas AlfredoIcon ; Günther, Christian; Struve, Angelica; Garcia Alai, Maria M.
Fecha de publicación: 10/2021
Editorial: International Union of Crystallography
Revista: Acta Crystallographica Section D: Structural Biology
ISSN: 2059-7983
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Biofísica

Resumen

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).
Palabras clave: BINDING AFFINITY , DIFFERENTIAL SCANNING FLUORIMETRY , ESPC , KD , LIGAND SCREENING , MICROSCALE THERMOPHORESIS , MOLECULAR BIOPHYSICS , MOLECULAR INTERACTIONS , ONLINE SERVERS , OPEN SCIENCE , PROTEIN STABILITY , TM
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution 2.5 Unported (CC BY 2.5)
Identificadores
URI: http://hdl.handle.net/11336/210801
URL: https://scripts.iucr.org/cgi-bin/paper?S2059798321008998
DOI: https://doi.org/10.1107/S2059798321008998
Colecciones
Articulos(IQUIBICEN)
Articulos de INSTITUTO DE QUIMICA BIOLOGICA DE LA FACULTAD DE CS. EXACTAS Y NATURALES
Citación
Burastero, Osvaldo; Niebling, Stephan; Defelipe, Lucas Alfredo; Günther, Christian; Struve, Angelica; et al.; eSPC: An online data-analysis platform for molecular biophysics; International Union of Crystallography; Acta Crystallographica Section D: Structural Biology; 77; 10-2021; 1241-1250
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