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Commit 79839399 authored by Studer Gabriel's avatar Studer Gabriel
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Molprobity -> MolProbity in figure legend (ProMod3 vs MODELLER histogram plot)

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...@@ -50,7 +50,7 @@ n_lddt, bins_lddt, patches_lddt = plt.hist(lddt_diffs, 50, range=(-7.0,7.0), ...@@ -50,7 +50,7 @@ n_lddt, bins_lddt, patches_lddt = plt.hist(lddt_diffs, 50, range=(-7.0,7.0),
n_probity, bins_probity, patches_probity = plt.hist(probity_diffs, 50, n_probity, bins_probity, patches_probity = plt.hist(probity_diffs, 50,
range=(-7.0,7.0), range=(-7.0,7.0),
facecolor=cblue, alpha=0.75, facecolor=cblue, alpha=0.75,
label='Molprobity score', label='MolProbity score',
linewidth=2.0, linewidth=2.0,
edgecolor='k') edgecolor='k')
plt.axvline(x=0.0, linewidth=2, color='k', linestyle='--') plt.axvline(x=0.0, linewidth=2, color='k', linestyle='--')
...@@ -59,7 +59,7 @@ plt.xlabel(r'$\Delta$ score (ProMod3 - MODELLER)',fontsize='x-large') ...@@ -59,7 +59,7 @@ plt.xlabel(r'$\Delta$ score (ProMod3 - MODELLER)',fontsize='x-large')
plt.ylabel('N',fontsize='x-large') plt.ylabel('N',fontsize='x-large')
plt.legend(frameon=False) plt.legend(frameon=False)
plt.savefig(hist_plot_name) plt.savefig(hist_plot_name, dpi=300)
probity_clash_promod = list() probity_clash_promod = list()
probity_clash_modeller = list() probity_clash_modeller = list()
......
modelling/promod3_vs_modeller_histplot.png

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modelling/promod3_vs_modeller_histplot.png

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modelling/promod3_vs_modeller_histplot.png
modelling/promod3_vs_modeller_histplot.png
modelling/promod3_vs_modeller_histplot.png
modelling/promod3_vs_modeller_histplot.png
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