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对利什曼原虫半胱氨酸蛋白酶(Clan CA,家族 Cl)的计算分析,以寻找潜在的表位区域。

Computational analysis of cysteine proteases (Clan CA, Family Cl) of Leishmania major to find potential epitopic regions.

机构信息

Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran.

出版信息

Genomics Proteomics Bioinformatics. 2009 Sep;7(3):87-95. doi: 10.1016/S1672-0229(08)60037-6.

Abstract

Leishmania is associated with a broad spectrum of diseases, ranging from simple cutaneous to invasive visceral leishmaniasis. Here, the sequences of ten cysteine proteases of types A, B and C of Leishmania major were obtained from GeneDB database. Prediction of MHC class I epitopes of these cysteine proteases was performed by NetCTL program version 1.2. In addition, by using BcePred server, different structural properties of the proteins were predicted to find out their potential B cell epitopes. According to this computational analysis, nine regions were predicted as B cell epitopes. The results provide useful information for designing peptide-based vaccines.

摘要

利什曼原虫与广泛的疾病相关,从简单的皮肤利什曼病到侵袭性内脏利什曼病。在这里,从 GeneDB 数据库中获得了主要利什曼原虫的 A、B 和 C 型十种半胱氨酸蛋白酶的序列。使用 NetCTL 程序版本 1.2 对这些半胱氨酸蛋白酶的 MHC 类 I 表位进行了预测。此外,使用 BcePred 服务器预测了蛋白质的不同结构特性,以找出其潜在的 B 细胞表位。根据这一计算分析,预测了九个区域作为 B 细胞表位。这些结果为设计基于肽的疫苗提供了有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3961/5054412/1280277de0df/gr1.jpg

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