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Screening and Identification of Antifreeze Peptides from Fish-derived Waste Using Molecular Modeling Technology
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Junke SUN1, Yufei WU1, Xinyi LIN1, Yanrong WANG1, Hongyan LIU1, 2, *
Science and Technology of Food Industry | 2026, 47(7) : 132 - 140
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Science and Technology of Food Industry | 2026, 47(7): 132-140
• Research and Investigation •
Screening and Identification of Antifreeze Peptides from Fish-derived Waste Using Molecular Modeling Technology
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Junke SUN1, Yufei WU1, Xinyi LIN1, Yanrong WANG1, Hongyan LIU1, 2, *
Affiliations
  • 1College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China
  • 2Key Laboratory of Marine Resource Chemistry and Food Technology, Tianjin 300457, China
Published: 2026-04-01 doi: 10.13386/j.issn1002-0306.2025030342
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Objective: This study aimed to screen antifreeze peptides (AFP) from fish-derived waste and elucidate their mechanisms of interaction with ice crystals by integrating molecular simulation with experimental validation. Methods: Cod skin collagen was used as the substrate. Simulated enzymatic hydrolysis was employed to identify proteases with optimal bioactive peptide yield. The hydrolysates were analyzed using Peptide Ranker, CryoProtect, ToxinPred and ExPASy databases to evaluate antifreeze potential and physicochemical properties. Molecular docking and dynamics simulations were employed to characterize AFP-ice binding mechanisms. Finally, the screened antifreeze peptides were synthesized using solid-phase synthesis, and differential scanning calorimetry (DSC) was applied to identify the thermal hysteresis activity (THA) of antifreeze peptide AFP2 (AGSSGPGGER). Results: Trypsin demonstrated the highest efficiency among 39 proteases screened via the Peptide Cutter database. Eleven non-toxic, non-allergenic, and good water solubility AFPs were identified from 103 peptides. The binding energy between antifreeze peptide AFP2 and ice crystals was −130.45 kcal/mol. AFP2 bound to ice crystals and dynamically adjusted its conformation during the binding process to enhance the interaction stability via hydrogen bonding and hydrophobic interactions. Antifreeze peptide AFP2 exhibited high antifreeze activity, with thermal hysteresis activity of 0.9 ℃ and only 12.29% ice crystal formation during freeze-thaw cycles. Conclusion: This study efficiently screened and identified a highly active antifreeze peptide from fish-derived collagen using molecular simulation technology, providing a feasible approach for developing antifreeze peptides from fish waste and a theoretical foundation for the resource utilization of fish-derived byproducts.

fish-derived waste  /  simulated enzymatic hydrolysis  /  antifreeze peptides  /  molecular docking  /  thermal hysteresis activity
孙军柯, 吴雨菲, 林欣怡, 汪艳蓉, 刘洪艳. 基于分子模拟技术的鱼源废弃物抗冻肽筛选与鉴定. 食品工业科技, 2026 , 47 (7) : 132 -140 . DOI: 10.13386/j.issn1002-0306.2025030342
Junke SUN, Yufei WU, Xinyi LIN, Yanrong WANG, Hongyan LIU. Screening and Identification of Antifreeze Peptides from Fish-derived Waste Using Molecular Modeling Technology[J]. Science and Technology of Food Industry, 2026 , 47 (7) : 132 -140 . DOI: 10.13386/j.issn1002-0306.2025030342
Year 2026 volume 47 Issue 7
110
51
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doi: 10.13386/j.issn1002-0306.2025030342
  • Receive Date:2025-03-28
  • Online Date:2026-10-24
  • Published:2026-04-01
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  • Received:2025-03-28
Affiliations
    1College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China
    2Key Laboratory of Marine Resource Chemistry and Food Technology, Tianjin 300457, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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