CalFitter: a web server for analysis of protein thermal denaturation data

Content Provider	Semantic Scholar
Author	Mazurenko, Stanislav Stourac, Jan Kunka, Antonin Nedeljkovic, Sava Bednar, David Prokop, Zbynek Damborský, Jirí
Copyright Year	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 12 protein unfolding pathway models for selection, including irreversible transitions often missing from other tools. The data fitting produces optimal parameter values, 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/.
Starting Page	W344
Ending Page	W349
Page Count	1
File Format	PDF HTM / HTML
PubMed reference number	29762722v1
Alternate Webpage(s)	https://doi.org/10.1093/nar/gky358
DOI	10.1093/nar/gky358
Journal	Nucleic Acids Research
Volume Number	46
Language	English
Access Restriction	Open
Subject Keyword	Calorimetry Confidence Intervals Interface Device Component Population Parameter Protein Unfolding Server (computer) protein folding
Content Type	Text
Resource Type	Article