Suppr超能文献

通过酶解、分子对接和分子动力学的计算机模拟从牛血红蛋白中鉴定新型抗氧化和抗炎肽。

Identification of novel antioxidant and anti-inflammatory peptides from bovine hemoglobin by computer simulation of enzymolysis, molecular docking and molecular dynamics.

作者信息

Xin Xuan-Ying, Ruan Chao-Hui, Liu Yi-Hui, Jin Huai-Na, Park Sung-Kwon, Hur Sun-Jin, Li Xiang-Zi, Choi Seong-Ho

机构信息

Engineering Research Center of North-East Cold Region Beef Cattle Science & Technology Innovation, Ministry of Education, Department of Animal Science, Yanbian University, Yanji, 133002, China.

Department of Food Science and Biotechnology, Sejong University, Seoul, 05006, Republic of Korea.

出版信息

Curr Res Food Sci. 2024 Nov 22;9:100931. doi: 10.1016/j.crfs.2024.100931. eCollection 2024.

Abstract

UNLABELLED

Due to the structural diversity and complex mechanisms of action of bioactive peptides, screening for specific functional peptides is often challenging. To efficiently screen bioactive peptides with antioxidant and anti-inflammatory effects from bovine hemoglobin, we employed bioinformatics methods to perform virtual enzymatic hydrolysis using online tools and predicted the bioactivity, toxicity, and sensitization scores of the resulting peptides. Molecular docking and molecular dynamics simulations with Keap1 and TLR4 were subsequently conducted to screen for antioxidant and anti-inflammatory peptides. Finally, peptides ARRF and ARNF were synthesized using the Fmoc solid-phase method. The oxidative stress and inflammation model in RAW264.7 cells was induced using lipopolysaccharide (LPS), followed by treatment with peptides ARRF and ARNF to verify their antioxidant and anti-inflammatory activities. The results demonstrated that 529 bovine hemoglobin oligopeptides were produced following virtual enzymatic hydrolysis, of which nine were identified as eligible based on predictions of biological activity, toxicity, solubility, and sensitization. Molecular docking results indicated that the oligopeptides ARNF, QADF, and ARRF exhibited favorable interactions with Keap1, while ARNF, RRF, and ARRF showed strong interactions with TLR4. The primary active sites binding to the Keap1 receptor included Val465, Thr560, and Gly464. The main active sites binding to the TLR4 receptor were Asn309, Asn305, and Glu286. Hydrogen bonding, electrostatic interactions, and hydrophobic interactions were identified as the primary modes of interaction between the oligopeptides and the Keap1 and TLR4 receptors. Molecular dynamics simulations further confirmed that the selected bovine hemoglobin peptides could stably bind to Keap1 and TLR4 receptors. Cell experiments demonstrated that ARRF and ARNF effectively ameliorated LPS-induced oxidative stress and inflammation in RAW264.7 cells.

CONCLUSION

Compared to traditional methods, this study promptly screens bovine hemoglobin antioxidant and anti-inflammatory peptides, offering a novel approach for rapidly identifying food-derived bioactive peptides.

摘要

未标记

由于生物活性肽的结构多样性和复杂的作用机制,筛选特定的功能肽往往具有挑战性。为了从牛血红蛋白中高效筛选具有抗氧化和抗炎作用的生物活性肽,我们采用生物信息学方法,利用在线工具进行虚拟酶解,并预测所得肽的生物活性、毒性和致敏性得分。随后进行了与Keap1和TLR4的分子对接和分子动力学模拟,以筛选抗氧化和抗炎肽。最后,采用Fmoc固相法合成了肽ARRF和ARNF。用脂多糖(LPS)诱导RAW264.7细胞中的氧化应激和炎症模型,然后用肽ARRF和ARNF处理以验证其抗氧化和抗炎活性。结果表明,虚拟酶解产生了529种牛血红蛋白寡肽,其中9种根据生物活性、毒性、溶解度和致敏性预测被确定为合格。分子对接结果表明,寡肽ARNF、QADF和ARRF与Keap1表现出良好的相互作用,而ARNF、RRF和ARRF与TLR4表现出强烈的相互作用。与Keap1受体结合的主要活性位点包括Val465、Thr560和Gly464。与TLR4受体结合的主要活性位点是Asn309、Asn305和Glu286。氢键、静电相互作用和疏水相互作用被确定为寡肽与Keap1和TLR4受体之间的主要相互作用模式。分子动力学模拟进一步证实,所选的牛血红蛋白肽可以稳定地与Keap1和TLR4受体结合。细胞实验表明,ARRF和ARNF有效地改善了LPS诱导的RAW264.7细胞中的氧化应激和炎症。

结论

与传统方法相比,本研究迅速筛选出牛血红蛋白抗氧化和抗炎肽,为快速鉴定食物来源的生物活性肽提供了一种新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/11629252/183f11d81b7b/ga1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验