WHAT WE OFFER
The online tool offers users the ability to upload and analyze circular dichroism (CD) and differential scanning calorimetry (DSC) data. Users can visualize their data, obtain fitting parameters, and download results.
INPUT DATA
Accepts experimental data files in CSV, TXT, or DAT formats with two columns: the independent variable (temperature) and the corresponding dependent variable (CD or DSC signal). Users can adjust units for different experimental setups.
THE FITTING MODEL
It employs the Zimm-Bragg model with solvent effects for fitting, utilizing Python's scipy library. Example datasets and theoretical explanations are provided for guidance.
By utilizing FitFoldData for your analysis, you are kindly asked to cite the publications that outline the original methods and reference data employed, along with referencing the specific papers associated with FitFoldData:
Badasyan, A., Tonoyan, S., Valant, M., & Grdadolnik, J. (2021). Implicit water model within the Zimm-Bragg approach to analyze experimental data for heat and cold denaturation of proteins. Communications chemistry, 4(1), 57. DOI: https://doi.org/10.1038/s42004-021-00499-xYeritsyan, K., Valant, M., & Badasyan, A. (2022). Processing helix–coil transition data: Account of chain length and solvent effects. Frontiers in Nanotechnology, 4, 982644. DOI: https://doi.org/10.3389/fnano.2022.982644
Badasyan, A. (2021). System size dependence in the zimm–bragg model: Partition function limits, transition temperature and interval. Polymers, 13(12), 1985. DOI: https://doi.org/10.3390/polym13121985
Yeritsyan, K., Badasyan, A. (2024). Differential scanning calorimetry of proteins and Zimm–Bragg model in water. Archives of biochemistry and biophysics, 110132. DOI: https://doi.org/10.1016/j.abb.2024.110132