| 昆虫抗菌肽的生物信息学预测及分析 |
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| 引用本文： | 苗璐,武慧,王晶,杨伟新,郝锡联,周晓馥.昆虫抗菌肽的生物信息学预测及分析[J].广东农业科学,2014,41(8):181-184. |
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| 作者姓名： | 苗璐 武慧 王晶 杨伟新 郝锡联 周晓馥 |
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| 作者单位： | 吉林师范大学生物资源与环境信息重点实验室，吉林四平136000 |
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| 基金项目： | 国家自然科学基金(31070224）；吉林省自然科学
基金(201115221） |
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| 摘 要： | 昆虫种类众多，占动物界的90%，其遍布于除深海和极地外的每一个角落。然而，昆虫不具有高等动物
的特异性免疫系统，需要血淋巴细胞产生抗菌肽来抵御外界侵害。昆虫抗菌肽是一类非专一性小分子多肽，是体液
免疫系统的重要组成部分，其来源众多，结构多样，并具有相对分子质量较小、热稳定性良好、抗菌广谱等特点。运用
生物信息学方法，结合生物信息学两大门户网站，对昆虫抗菌肽的分类、平均疏水性、跨膜区域、信号肽、亚细胞定位
等进行预测及分析。
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| 关 键 词： | 昆虫抗菌肽 生物信息学 分类 预测 |
Bioinformatics prediction and analysis of
insect antimicrobial peptides |
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| Abstract: | The species of insects are numerous, accounting for 90% of the animal kingdom. They are found in every
corner except the deep sea and polars. Insects dont have the specific immune system like the higher animals. They need
antimicrobial peptides produced by blood lymphocytes to combat toxins. Antimicrobial peptide is a kind of small peptide
and is an important part of the humoral immune system. They have numerous sources and divers structure together with
small molecular weight, good thermal stability and broad-spectrum antimicrobial characteristics. In this paper, two web
portals were used to predict and analyze the classification, average hydrophobic, transmembrane region, signal peptide and
subcellular localization of insect antimicrobial peptide by bioinformatics methods. |
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| Keywords: | antimicrobial peptide of insect bioinformatics classification prediction |
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