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首页> 外文期刊>American Journal of Physiology >NHLBI-AbDesigner: An online tool for design of peptide-directed antibodies
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NHLBI-AbDesigner: An online tool for design of peptide-directed antibodies

机译:NHLBI-AbDesigner:设计肽指导抗体的在线工具

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Investigation of physiological mechanisms at a cellular level often requires production of high-quality antibodies, frequently using synthetic peptides as immunogens. Here we describe a new, web-based software tool called NHLBI-AbDesigner that allows the user to visualize the information needed to choose optimal peptide sequences for peptide-directed antibody production (http://helixweb.nih.gov/AbDesigner/). The choice of an immunizing peptide is generally based on a need to optimize immunogenicity, antibody specificity, multispecies conservation, and robustness in the face of posttranslational modifications (PTMs). AbDesigner displays information relevant to these criteria as follows: 1) "Immunogenicity Score," based on hydropathy and secondary structure prediction; 2) "Uniqueness Score," a predictor of specificity of an antibody against all proteins expressed in the same species; 3) "Conservation Score," a predictor of ability of the antibody to recognize orthologs in other animal species; and 4) "Protein Features" that show structural domains, variable regions, and annotated PTMs that may affect antibody performance. AbDesigner displays the information online in an interactive graphical user interface, which allows the user to recognize the trade-offs that exist for alternative synthetic peptide choices and to choose the one that is best for a proposed application. Several examples of the use of AbDesigner for the display of such trade-offs are presented, including production of a new antibody to Slc9a3. We also used the program in large-scale mode to create a database listing the 15-amino acid peptides with the highest Immunogenicity Scores for all known proteins in five animal species, one plant species (Arabidopsis thaliana), and Saccharomyces cerevisiae.
机译:在细胞水平上研究生理机制通常需要产生高质量的抗体,经常使用合成肽作为免疫原。在这里,我们描述了一种称为NHLBI-AbDesigner的基于Web的新软件工具,该工具可让用户可视化选择最佳肽序列以进行肽指导的抗体生产所需的信息(http://helixweb.nih.gov/AbDesigner/)。免疫肽的选择通常基于在面对翻译后修饰(PTM)时需要优化免疫原性,抗体特异性,多物种保守性和鲁棒性的需求。 AbDesigner将显示与这些标准有关的信息,如下所示:1)基于亲水性和二级结构预测的“免疫原性评分”; 2)“唯一性评分”,是抗体针对同一物种中表达的所有蛋白质的特异性的预测因子; 3)“保守分数”,是抗体识别其他动物物种直系同源物能力的预测指标;和4)“蛋白质特征”,显示可能影响抗体性能的结构域,可变区和带注释的PTM。 AbDesigner在交互式图形用户界面中在线显示信息,使用户能够识别出可供选择的合成肽选择的折衷方案,并选择最适合拟议应用的肽。展示了使用AbDesigner进行此类折衷的几个示例,包括产生针对Slc9a3的新抗体。我们还使用该程序以大规模模式创建了一个数据库,该数据库列出了5种动物,一种植物(拟南芥)和酿酒酵母中所有已知蛋白质的免疫原性评分最高的15个氨基酸肽。

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