Data and scripts to generate the figures in the manuscript on the hydrophobic temperature dependence of amyloid fibril formation.
Link to the source code of the model simulations: https://bitbucket.org/abeln/amyloid_hydrophobe/src/master/
The figures showing the analysis results of the simulations were generated with R scripts (version 3.5.2). If you run them, make sure to modify the directory names in 'setDataSources.R'. Also modify the location of the data files ('/path/dataframesEnthaly_....Rdata') in each of the scripts.
- Figure 3: ManuscriptFiguresSA_ac_b.R
- Figure 4: HeatMap_SA.R
- Figure S1: PaggrFiguresSA.R
- Figure S2 + S3: SuppFiguresSA.R
The figures showing the analysis results of the experiments were generated with Python scripts (version 2.7.15). Because for most figures multiple data files and/or scripts were used, these are organized per folder.
- Figure 5a: gamma: calculate_ASA.py -> fit_stats_onefig.py
- Figure 5b: gamma: plot_gamma.py (takes output from fit_stats_onefig.py as input) + barplot_ASA.py
- Figure 6: ionic_strength: ions_urea.py
- Figure S4: ITC_asyn_mf_raw: plot_ITC_raw_data.py
- Figure S6: depolymerisation: plot_glu_alac_depol.py
- Figure S7: GNNQQNY: plot_gnnqqny.py
- Figure S8: fluorescence: plot_fluorescence_spectra.py
- Figure S9: equilibration: fitting_g_340_330.py