2 results about "Antifreeze Peptides" patented technology

The application discloses a source of antifreeze peptide of euphausia superba for quality keeping of squid and a preparation and screening method thereof, and is prepared from the euphausia superba as raw material, and different proteases are used for enzymolysis under certain material-liquid ratio conditions, and the enzymolysis liquid with the optimal antifreezing effect is screened through a freeze-thaw cycle food model. The euphausia superba enzymolysis liquid obtained through neutral protease enzymolysis can significantly improve the water holding capacity of food, and reduce thawing loss rate and cooking loss rate. After the euphausia superba enzymolysis liquid is prepared under the optimal hydrolysis condition, the molecular weight distribution is determined, then the enzymolysis product is separated and purified through ultrafiltration and dextran gel chromatography, the active component is identified through liquid chromatography-tandem mass spectrometry, finally, the potential active peptide is screened and mechanism analysis is carried out, and the antifreeze peptide is successfully identified. The prepared antifreeze peptide is natural, safe and effective in source, is suitable for quality keeping of frozen aquatic products and other frozen foods, and has a good application prospect.

The present application relates to the technical field of peptide generation, and provides an artificial intelligence reverse design method and system for multifunctional antifreeze peptide, comprising the following steps: obtaining the three-dimensional structure of a sequence of a natural multifunctional antifreeze peptide collected in a public database through a protein / peptide three-dimensional structure prediction model; calculating the two-dimensional infrared spectrum of the sequence; constructing a training set for mapping text information to the two-dimensional infrared spectrum and a training set for mapping the two-dimensional infrared spectrum to the main chain skeleton of the multifunctional antifreeze peptide, completing model training, and obtaining a two-dimensional infrared spectrum generation model and a peptide main chain skeleton generation model; in the reasoning stage, inputting functional text information, obtaining a predicted peptide main chain skeleton and performing refinement, calling a skeleton conditional sequence design module to generate a corresponding peptide sequence; and screening out a peptide sequence meeting a comprehensive evaluation condition as a candidate peptide sequence. Through the method, the efficiency and success rate of reverse design of multifunctional peptides starting from functional requirements are improved.