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. Author manuscript; available in PMC: 2014 Feb 28.
Published in final edited form as: Annu Rev Biophys. 2013 Feb 28;42:10.1146/annurev-biophys-083012-130315. doi: 10.1146/annurev-biophys-083012-130315

Figure 3.

Figure 3

(a) The average sequence identity of sequences designed by RosettaDesign-SR, RosettaDesign, Liang-Grishin, and EGAD is compared to their respective wild-type sequences as a function of the fraction of surface residues. (b) The average accuracy of predicted secondary structures from the sequences designed by four computational methods is compared with the results for wild-type sequences. SPINE-X was employed for sequence-based secondary structure prediction. (c) The average fractions of predicted disordered residues are compared. SPINE-D was employed for predicting intrinsic disorder for designed and wild-type sequences. (d) The average correlation coefficients between predicted and actual solvent-accessible surface areas (ASA) from the target structure are compared. Real-SPINE 3 was employed for solvent accessibility prediction from designed and wild-type sequences.