Identification of antifreeze peptides in shrimp byproducts autolysate using peptidomics and bioinformatics.

In the present study, a novel method based on peptidomics and bioinformatic was applied to identification and characterization of antifreeze peptides (AFPs) from shrimp byproducts autolysate (SBPA). According to the results of in silico prediction and high peptide structural inflexibility, DEYEESGPGIVH and EQICINFCNEK were picked as potential AFP-1 and AFP-2, respectively. The outcomes of DSC determination indicated that TH of synthesized AFP-1 and AFP-2 (10 mg/mL) were 1.37 °C and 1.57 °C, respectively. Besides, 0.1 %-3 % AFPs showed significant cryoprotection in shrimp muscle after 3 and 6 freeze-thaw cycles, evidenced by higher SSP content, Ca2+-ATPase activity, sulfhydryl content and lower surface hydrophobicity than control; while the higher concentration resulted in better protection against freeze induced denaturation. Both AFP-1&2 showed favorable hydrogen bonding affinity which facilitated ice binding and ice crystal growth inhibition. This work could provide new ideals for identification and characterization of AFPs.