Flower Darren R
The Jenner Institute, University of Oxford, Berkshire, UK.
Methods Mol Biol. 2007;409:1-15. doi: 10.1007/978-1-60327-118-9_1.
Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of its principal goals is the effective prediction of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity is the ability of a pathogen or component thereof to induce a specific immune response when first exposed to surveillance by the immune system, whereas antigenicity is the capacity for recognition by the extant machinery of the adaptive immune response in a recall response. In thisbook, we introduce these subjects and explore the current state of play in immunoinformatics and the in silico prediction of immunogenicity.
免疫信息学是将信息学技术应用于免疫系统分子。其主要目标之一是有效预测免疫原性，无论是在表位、亚单位疫苗还是减毒病原体水平。免疫原性是指病原体或其成分首次暴露于免疫系统监测时诱导特异性免疫反应的能力，而抗原性是指在回忆反应中被适应性免疫反应的现有机制识别的能力。在本书中，我们介绍这些主题，并探讨免疫信息学和免疫原性的计算机预测的当前进展情况。
