首页> 外文会议>Genetic and evolutionary computation conference;GECCO-99;International conference on Genetic Algorithms;ICGA-99;Annual genetic programming conference;GP-99 >How the immune system generates diversity: pathogen space coverage with random and evolved antibody libraries
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How the immune system generates diversity: pathogen space coverage with random and evolved antibody libraries

机译:免疫系统如何产生多样性:具有随机和进化的抗体库的病原体空间覆盖

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The immune system uses many strategies to generate its enormous repertoire of diverse antibodies, but their relative importance is not understood. Here we address the contribution of antibody gene libraries to the antibody repertoire. We introduce a general framework, in which we can study many antibody-pathogen matching rules, including the widely-used shape-space model (Perelson and Oster, 1979). We use the genetic algorithm as a model of evolution to investigate the type of antibody repertoires that might evolve in relation to a given pathogenic environment. For the antibody/pathogen matching rules that we studied, the scaling relation between fitness and the size of the evolved antibody library is only a shifted variant of the scaling relation that we obtain with random libraries of the same size. We discuss how our results compare to the antibodies that are expressed in newborns, and we discuss the implications of our results for recent experiments with phage antibody libraries.
机译:免疫系统使用许多策略来产生其丰富的多样化抗体库,但它们的相对重要性尚不清楚。在这里,我们解决了抗体基因文库对抗体库的贡献。我们介绍了一个通用框架,在其中我们可以研究许多抗体-病原体匹配规则,包括广泛使用的形状空间模型(Perelson和Oster,1979年)。我们使用遗传算法作为进化模型来研究可能与给定的致病环境有关的抗体库类型。对于我们研究的抗体/病原体匹配规则,适应度和进化抗体库大小之间的比例关系只是我们从相同大小的随机库中获得的比例关系的移位变体。我们讨论了我们的结果如何与新生儿表达的抗体进行比较,并且我们讨论了我们的结果对最近使用噬菌体抗体库进行实验的意义。

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