Figure 2
The MoltenProt pipeline consists of four steps. Firstly, the data are loaded and preprocessed by selecting the temperature range, applying smoothening or normalization transformations and selecting the experimental conditions to analyze. In this step, the user will see the signal (330 nm, 350 nm, ratio and derivatives) versus temperature plots. Secondly, the melting curves are fitted using one of the five available models. The fitted curves to the raw data and the estimated parameters with their respective errors are presented. As an example, a reversible two-state model will yield the enthalpy of unfolding ΔHu and the melting temperature Tm. Thirdly, the fitted models are used to obtain a protein stability score or to visualize different plots such as `unfolded fraction versus temperature' or `Tm versus experimental condition'. The fitted curves can be filtered according to certain criteria such as low relative errors in the estimated parameters. Fourthly, a complete report of the analysis can be exported together with individual CSV files containing the model-derived information. |