SPC-Facility-EMBL-Hamburg / eSPC_biophysics_platform

A collection of tools to analyse biophysical data. Written mostly in R and Python.

Home Page:https://spc.embl-hamburg.de/

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The eSPC platform

Last time updated: February 2024

Introduction

The eSPC platform (spc.embl-hamburg.de) is a collection of programs designed to analyze biophysical data using different techniques. The table below shows the tools available along with their purpose:

Tool Purpose Technique
MoltenProt Protein stability Differential scanning fluorimetry
FoldAffinity Binding affinity Differential scanning fluorimetry
ThermoAffinity Binding affinity Microscale thermophoresis / fluorescence quenching
PhotoMol Sample size, oligomerization and homogeneity Mass photometry
Raynals Sample size and homogeneity Single-angle dynamic light scattering
ChiraKit Protein stability, secondary structure, binding Circular dichroism

Installation

To install all or some of the eSPC platform tools, please refer to the 'installation_guide.md' document.

Team

Developers: Osvaldo Burastero, Stephan Niebling, Clemente Borges and Andrea D'Amato
Project Leader: Maria Garcia Alai

Contact

If you have any questions or feedback regarding the eSPC platform, or you want to provide your own version of the eSPC platform on a different host, please feel free to contact us via email:

oburastero@gmail.com, stephan.niebling@embl-hamburg.de, m.garcia@embl-hamburg.de, spc@embl-hamburg.de

Main references

Burastero, Osvaldo, et al. "Raynals, an online tool for the analysis of dynamic light scattering." Acta Crystallographica Section D: Structural Biology 79.8 (2023).

Niebling, Stephan, et al. "Biophysical Screening Pipeline for Cryo-EM Grid Preparation of Membrane Proteins." Frontiers in Molecular Biosciences (2022): 535.

Burastero, Osvaldo, et al. "eSPC: an online data-analysis platform for molecular biophysics." Acta Crystallographica Section D: Structural Biology 77.10 (2021): 1241-1250.

Niebling, Stephan, et al. "FoldAffinity: binding affinities from nDSF experiments." Scientific Reports 11.1 (2021): 9572.

About

A collection of tools to analyse biophysical data. Written mostly in R and Python.

https://spc.embl-hamburg.de/

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