Extended Data Fig. 2: Data mining-driven hydrogels based on the resilin protein database.
From: Data-driven de novo design of super-adhesive hydrogels
(a) Pairwise frequency distribution of 21 functional class pair types in encoded consensus sequences for adhesive and resilin proteins from data mining (DM). The resilin dataset comprises 2,537 proteins sourced from the NCBI protein database using the keyword “resilin.” (b) Average monomer proportions in formulations derived from adhesive and resilin protein databases. (c) Adhesive strength (\({F}_{a}\)) of DM-driven hydrogels derived from the resilin protein database. Asterisks indicate significant gel shrinkage during solvent exchange, making adhesion testing unfeasible for these samples. Detailed formulations are included in Supplementary Table 7. Adhesion tests were performed on a glass substrate in normal saline using a tack test with a 10 N loading force and a 10-s contact time, consistent with conditions used for DM-driven hydrogels derived from adhesive proteins. Error bars represent the standard deviation of N = 3 measurements. (d) Comparison of average \({F}_{a}\) between DM-driven hydrogels derived from adhesive and resilin protein databases.
