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分泌型单链双功能抗体分子间接头的设计及软件分析
引用本文:李应涛,吴兴安,邱力军. 分泌型单链双功能抗体分子间接头的设计及软件分析[J]. 医学争鸣, 2007, 28(2): 179-182
作者姓名:李应涛  吴兴安  邱力军
作者单位:第四军医大学医学电子工程教研室,陕西,西安,710033;第四军医大学医学电子工程教研室,陕西,西安,710033;第四军医大学医学电子工程教研室,陕西,西安,710033
摘    要:目的:利用生物信息学软件分析分泌型抗骨肉瘤单链双功能抗体融合蛋白的二级结构及其理化性质.方法:构建融合蛋白时,先进行连接肽的设计,选用通用酶切位点序列,运用DNA分析软件(DNAssist)和蛋白质分析软件(ANTHEPROT V5)分析预测融合蛋白的氨基酸序列、二级结构及其理化性质.结果:在编码ScFv与TNF的碱基之间引入连接肽,通过酶切位点获得的DNA序列,运用DNAssist核酸序列软件获得了融合蛋白的二级结构,并运用蛋白质分析软件(ANTHEPROT V5)预测了融合蛋白的理化性质.结论:应该充分利用生物信息学软件分析生物学信息,并不断对软件本身进行改进,生物信息学软件可提高药物开发进程,可利用生物信息学和遗传学信息来寻找和开发以基因为基础的药物.

关 键 词:抗体  双特异性  肿瘤坏死因子类  计算生物学
文章编号:1000-2790(2007)02-0179-04
修稿时间:2006-05-11

Design and analysis of linkers among secretary single-chain bifunctional antibody fusion molecules with bioinformatics software
LI Ying-Tao,WU Xing-An,QIU Li-Jun. Design and analysis of linkers among secretary single-chain bifunctional antibody fusion molecules with bioinformatics software[J]. Negative, 2007, 28(2): 179-182
Authors:LI Ying-Tao  WU Xing-An  QIU Li-Jun
Abstract:AIM: AIM: To analyze the secondary structure and the physical and chemical characteristics of the secretary anti-osteosarcoma single-chain bifunctional antibody fusion protein with bioinformatics software. METHODS: The sites of enzyme were selected for the sequence of linker. Bioinformatics software was used to analyze structural change of the single-chain antibody fragments of variable domain-tumor necrosis factor (ScFv-TNF) fusion protein, and then DNAssist and ANTHEPROT V5 were used to analyze its sequence, secondary structure, and physical and chemical characteristics. RESULTS: On the fusion genes, the sites of enzyme were selected for the sequence of linker, and the secondary structure of the fusion protein was obtained with DNAssist, and the physical and chemical characteristics of the fusion protein were forecasted with ANTHEPROT V5. CONCLUSION: The software for bioinformatics should be fully utilized to analyze biological information, and be improved continuously. Bioinformatics can shorten the course of pharmaceutical development, at the same time can help us to explore the gene-based medicine.
Keywords:anlibodies, bispecific   tumor necrosis factors   computational biology
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