Homology modeling and prediction of the linear B-cell antigenic epitopes of Glycinin A1a subunits

  • FU Yang ,
  • XI Jun ,
  • CHEN Huibin ,
  • CHEN Yang
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  • (College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

Received date: 2020-07-07

  Revised date: 2021-08-18

  Online published: 2022-05-18

Abstract

To explore the linear B-cell epitopes of Glycinin A1a subunits, the amino acid sequence of Glycinin A1a was indexed in National Center of Biotechnology Information(NCBI), then the primary and secondary structure of Glycinin A1a were analyzed by a series of bioinformatics software. The predicted linear B-cell epitopes are 24EQPQQN29, 40KPDNRI45, 56NPNNK60, 80RRPSYTNG87, 114PQQPQQRGQS123, 197QEQGGHQSQKGKHQQEEENE216, 247NEGED251, 267PPTDEQQQRP276, 285DEKPQCKGK293 and 299RPRGS303. In addition, the three-dimensional model of Glycinin A1a was built by SWISS-MODEL, and the DiscoTope 2.0 Server was used to make a fractal epitope prediction of Glycinin A1a subunit. This prediction narrows down the scope of soybean allergenic epitopes identification, and it provides a reference for the detection of allergens.

Cite this article

FU Yang , XI Jun , CHEN Huibin , CHEN Yang . Homology modeling and prediction of the linear B-cell antigenic epitopes of Glycinin A1a subunits[J]. Food and Fermentation Industries, 2022 , 48(8) : 22 -27 . DOI: 10.13995/j.cnki.11-1802/ts.028505

References

[1] 王军, 张海生, 李方舟, 等.大豆蛋白质的开发与利用[J].农产品加工, 2020(5):11-13.
WANG J, ZHANG H S, LI F Z, et al.Development and utilization of soybean protein[J].Academic Periodical of Farm Products Processing, 2020(5):11-13.
[2] 孙明明, 王萍, 李智媛, 等.大豆活性成分研究进展[J].大豆科学, 2018, 37(6):975-983.
SUN M M, WANG P, LI Z Y, et al.Research progress of soybean active ingredients[J].Soybean Science, 2018, 37(6):975-983.
[3] WILSON S, BLASCHEK K, DE MEJIA E G.Allergenic proteins in soybean:Processing and reduction of p34 allergenicity[J].Nutrition Reviews, 2005, 63(2):47-58.
[4] WANG J L, SAMPSON H A.Food anaphylaxis[J].Clinical and Experimental Allergy, 2007, 37(5):651-660.
[5] HELM R M, COCKRELL G, CONNAUGHTON C, et al.A soybean g2 glycinin allergen[J].International Archives of Allergy and Immunology, 2000, 123(3):205-212.
[6] CHEN J S, WANG J, SONG P X, et al.Determination of glycinin in soybean and soybean products using a sandwich enzyme-linked immunosorbent assay[J].Food Chemistry, 2014, 162(1):27-33.
[7] DJURTOFT R, PEDERSEN H S, AABIN B, et al.Studies of food allergens:Soybean and egg proteins[J].Advances in Experimental Medicine and Biology, 1991, 289:281-293.
[8] 闫慧丽, 席俊, 贺梦雪, 等.大豆主要过敏原Gly m Bd 28K的同源建模和B细胞表位的预测[J].河南工业大学学报(自然科学版), 2016, 37(4):41-45;51.
YAN H L, XI J, HE M X, et al.Homologous modeling and prediction of B cell epitope of soybean major allergen Gly m Bd 28K[J].Journal of Henan University of Technology (Natural Science Edition), 2016, 37(4):41-45;51.
[9] 李俊慧, 邵军军, 常惠芸.抗原表位鉴定方法的研究进展[J].中国兽医科学, 2021, 51(6):678-683.
LI J H, SHAO J J, CHANG H Y.Advance of antigenic epitope mapping methods[J].Chinese Veterinary Science, 2021,51(6):678-683.
[10] 刘阳星月, 张迪, 姚亚亚, 等.大豆过敏原11S球蛋白G2中A2链结合表位的预测[J].食品科学, 2018, 39(18):152-158.
LIU Y X Y, ZHANG D, YAO Y Y, et al.Mapping of IgG-Binding epitopes on the A2 chain of the major soybean allergen 11S globulin G2[J].Food Science, 2018, 39(18):152-158.
[11] 皮江一, 席俊, 贺梦雪, 等.大豆主要过敏原α-伴大豆球蛋白β亚基的抗原表位分析及分段克隆[J].食品工业科技, 2017, 38(18):90-93.
PI J Y, XI J, HE M X, et al.Analysis of antigenic epitopes and cloning of soybean major allergen β-conglycinin beta-subunit[J].Science and Technology of Food Industry, 2017, 38(18):90-93.
[12] LIU M, HUAN F, LI M S, et al.Mapping and IgE-binding capacity analysis of heat/digested stable epitopes of mud crab allergens[J].Food Chemistry, 2021, 344:128735.
[13] LARSEN J E P, LUND O,NIELSEN M.Improved method for predicting linear B-cell epitopes[J].Immunome Research, 2006, 2(1):2.
[14] STUDER G, TAURIELLO G, BIENERT S, et al.Modeling of protein tertiary and quaternary structures based on evolutionary information[J].Methods in Molecular Biology, 2019, 1851:301-316.
[15] 李雪娇, 李欣芮, 范卓妍, 等.小麦主要过敏原CM16线性B细胞表位的预测及初步鉴定[J].食品科学, 2019, 40(24):136-141.
LI X J, LI X R, FAN Z Y, et al.Predicting and identifying linear B-cell epitopes of wheat allergen CM16[J].Food Science, 2019, 40(24):136-141.
[16] 单晓红. 大豆和牛奶致敏原表位预测及加工对其抗原性和结构的影响[D].无锡:江南大学, 2013.
SHAN X H.Prediction of soybean and milk allergen peptides and effects of processing treatment on their antigenicity and conformational structure[D].Wuxi:Jiangnan University, 2013.
[17] 马秀丽, 张九凯, 孙劲旅, 等.芝麻过敏原Ses i 3同源建模及B细胞线性抗原表位预测[J].中国食品学报, 2021, 21(4):9-18.
MA X L, ZHANG J K, SUN J L, et al.Homology modeling and prediction on B cell liner antigenic epitopes of Ses i 3 from sesamum indicum[J].Journal of Chinese Institute of Food Science and Technology, 2021, 21(4):9-18.
[18] 李江英, 白雪娟, 梁艳, 等.用DNAStar软件预测Rv1410c结核分枝杆菌蛋白抗原表位[J].细胞与分子免疫学杂志, 2015, 31(4):474-477.
LI J Y, BAI X J, LIANG Y, et al.Prediction of epitopes of Rv1410c Mycobacterium tuberculosis protein using DNAStar software[J].Chinese Journal of Cellular and Molecular Immunology, 2015, 31(4):474-477.
[19] LI Y H, LIU X F, ZHU Y J, et al.Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis[J].Experimental and Therapeutic Medicine, 2013, 6(2):335-340.
[20] ZHAO J, CAO Y, ZHANG L.Exploring the computational methods for protein-ligand binding site prediction[J].Computational and Structural Biotechnology Journal, 2020, 18:417-426.
[21] 柯丕余, 黄俊, 胡升, 等.应用拉氏图信息提高短乳杆菌谷氨酸脱羧酶催化性能[J].生物工程学报, 2016, 32(1):31-40.
KE P Y, HUANG J, HU S, et al.Enhancing glutamate decarboxylase activity by site-directed mutagenesis:An insight from Ramachandran plot[J].Chinese Journal of Biotechnology, 2016, 32(1):31-40.
[22] 祝苗. 人肠道病毒71型和柯萨奇病毒A16型抗原表位的生物信息学预测[D].宁波:宁波大学, 2018.
ZHU M.The systematic prediction of antigenic epitopes for human enteroviruses 71 and Coxasckievirus A16[D].Ningbo:Ningbo University, 2018.
[23] SAEED H, GAGNON C, COBER E, et al.Using patient serum to epitope map soybean glycinins reveals common epitopes shared with many legumes and tree nuts[J].Molecular Immunology, 2016, 70:125-133.
[24] KHANNA D,RANA P S.Improvement in prediction of antigenic epitopes using stacked generalisation:An ensemble approach[J].IET systems biology, 2020, 14(1):1-7.
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