CalFitter: A Web Server for Analysis of Protein Thermal Denaturation Data

Authors

Mazurenko, S., Stourac, J., Kunka, A., Nedejlkovic, S., Bednar, D., Prokop, Z., Damborsky, J.

Source

NUCLEIC ACIDS RESEARCH 46: W344-W349 (2018)

Abstract

Despite significant advances in the understanding of protein structure-function relationships, revealing protein folding pathways still poses a challenge due to a limited number of relevant experimental tools. Widely-used experimental techniques, such as calorimetry or spectroscopy, critically depend on a proper data analysis. Currently, there are only separate data analysis tools available for each type of experiment with a limited model selection. To address this problem, we have developed the CalFitter web server to be a unified platform for comprehensive data fitting and analysis of protein thermal denaturation data. The server allows simultaneous global data fitting using any combination of input data types and offers twelve protein unfolding pathway models for selection, including irreversible transitions often missing from other tools. The data fitting produces optimal parameters, their confidence intervals, and statistical information to define unfolding pathways. The server provides an interactive and easy-to-use interface that allows users to directly analyse input datasets and simulate modelled output based on the model parameters. CalFitter web server is available free at https://loschmidt.chemi.muni.cz/calfitter/.

Full text •  Supplement

Citation

Mazurenko, S., Stourac, J., Kunka, A., Nedejlkovic, S., Bednar, D., Prokop, Z., Damborsky, J., 2018: CalFitter: A Web Server for Analysis of Protein Thermal Denaturation Data. Nucleic Acids Research 46: W344-W349.

5th Hands-on Computational Enzyme Design Workshop
Jiri to Present at Biocatalysis Gordon Research Conference 2024
Interview with Martin – I Came Into My Own in the Microworld
Jiri and Pavel at Symposium: Biochemical Machine Learning
Lukas at International Science and Engineering Fair in Dallas
Jiri to Present at Elixir 3D Bio AGM
Press Release: We Are Closer to Treatment of Alzheimer’s Disease