PD-L2蛋白B细胞表位预测及其与PD-1结合的三维结构分析

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Abstract Objective: To predict the B-cell epitopes of human programmed death factor 1 ligand 2 (PD-L2) and to analyze its 3D structure in combination with PD-1. Methods: The secondary structure, the flexible region, the hydrophilicity of Hopp & Woods, the Zimmerman polarity parameter, the Jameson-Wolf antigen index and the Emini surface accessibility protocol of PD-L2 were predicted by bioinformatics analysis software and on-line analysis system on server. The results were used in the Multiplicative analysis of the dominant B-cell epitopes in PD-L2. Finally, using antigenic index analysis, B-cell epitopes of PD-L2 were predicted. Homology of human PD-L2 and mouse PD-L2 was analyzed by BLAST to match the B-epitopes of human PD-L2 with the sequence of mouse PD-L2. The sequences matching human PD-L2 epitopes were mapped on the binding model of mouse PD-1 and mouse PD-L2, and the stereostructure was simulated to further analyze the relationship between B cell epitopes and protein binding site. Results: The full-length amino acid sequence of PD-L2 contains a total of 273 amino acids and a molecular weight of 31 kDa soluble protein. Through comprehensive analysis, the dominant epitopes of B-cell may be the amino acid sequence of aa60-72, aa93-97, aa133-139, aa164-171 section. Simulated stereostructure analysis revealed that the epitope aa60-72 segment “QKVENDTSPHRER” is located in the binding region of PD-1 and PD-L2. Conclusion: Bioinformatics predicted that B-cell epitopes of PD-L2 in the predominant B-cell epitopes of PD-L2 were aa60-72, aa93-97, aa133-139,164-171, of which the epitope aa60-72(QKVENDTSPHRER) was located in the area where PD-1 and PD-L2 are combined. The above can provide theoretical basis for PD-L2 antibody design and research.

Key words： programmed cell death 1 programmed cell death 1 ligand 2 B-cell epitope 3D structure

Received: 08 August 2017

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	CHENG Kai
	CHEN Xudong
	LYU Kaiji
	JIN Jinji
	YE Xiaoxian
	ZHANG Lifang
	ZHU Guanbao.

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2018/V48/I5/319

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