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. 2014 Sep 3;7:602. doi: 10.1186/1756-0500-7-602

Table 2.

R-squared values using change in ASA values

Response variable Tripeptide R^2 ProtSA static ProtSA Upper creamer Avg creamer Lower creamer Avg gong/rose Lower gong/rose
Nres .9945 .9936 .9932 .9958 .9945 .9921 .9934 .9954
∆Cp .7857 .7801 .7797 .7815 .78 .7772 .7777 .7838
∆H(60) .8034 .7909 .7951 .7944 .7943 .7937 .8087 .7982
∆S(60) .7707 .7665 .7663 .7655 .7661 .7666 .7776 .7685
∆H* .937 .9263 .9296 .93 .9292 .9275 .9365 .9331
∆S* .9344 .928 .929 .9295 .929 .9278 .9343 .9321

R-squared values are from regressions using each unfolded surface area method to predict the six different response variables from Robertson and Murphy [11]: number of residues (Nres), heat capacity change upon unfolding (∆Cp), enthalpy of unfolding at 60 degrees C (∆H(60)) and at 100 degrees C (∆H*), and entropy of unfolding at 60 degrees C (ΔS(60)) and at 112 degrees C (∆S*). Values in bold are either improvements, ties, or in the closest three to the performance of the tripeptide method in terms of R-squared values. Tripeptide reference values are in italics.