首页> 外文OA文献 >A Database of Bacterial Lipoproteins (DOLOP) with Functional Assignments to Predicted Lipoproteins
【2h】

A Database of Bacterial Lipoproteins (DOLOP) with Functional Assignments to Predicted Lipoproteins

机译:具有预测脂蛋白功能的细菌脂蛋白(DOLOP)数据库

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Lipid modification of the N-terminal Cys residue (N-acyl-S-diacylglyceryl-Cys) has been found to be an essential, ubiquitous, and unique bacterial posttranslational modification. Such a modification allows anchoring of even highly hydrophilic proteins to the membrane which carry out a variety of functions important for bacteria, including pathogenesis. Hence, being able to identify such proteins is of great value. To this end, we have created a comprehensive database of bacterial lipoproteins, called DOLOP, which contains information and links to molecular details for about 278 distinct lipoproteins and predicted lipoproteins from 234 completely sequenced bacterial genomes. The website also features a tool that applies a predictive algorithm to identify the presence or absence of the lipoprotein signal sequence in a user-given sequence. The experimentally verified lipoproteins have been classified into different functional classes and more importantly functional domain assignments using hidden Markov models from the SUPERFAMILY database that have been provided for the predicted lipoproteins. Other features include the following: primary sequence analysis, signal sequence analysis, and search facility and information exchange facility to allow researchers to exchange results on newly characterized lipoproteins. The website, along with additional information on the biosynthetic pathway, statistics on predicted lipoproteins, and related figures, is available at http://www.mrc-lmb.cam.ac.uk/genomes/dolop/.
机译:已发现N端Cys残基(N-酰基-S-二酰基甘油基-Cys)的脂质修饰是必需的,普遍存在的和独特的细菌翻译后修饰。这种修饰甚至可以将高度亲水的蛋白质锚定在膜上,从而执行多种对细菌重要的功能,包括发病机理。因此,能够鉴定出这种蛋白质具有很大的价值。为此,我们创建了一个完整的细菌脂蛋白数据库,称为DOLOP,该数据库包含来自234个完全测序的细菌基因组的约278种不同脂蛋白和预测脂蛋白的信息并链接至分子详细信息。该网站还提供了一种工具,该工具应用预测算法来识别用户提供的序列中脂蛋白信号序列的存在与否。使用SUPERFAMILY数据库中的隐马尔可夫模型,将经过实验验证的脂蛋白分为不同的功能类别,更重要的是功能域分配,该模型已为预测的脂蛋白提供。其他功能包括:初级序列分析,信号序列分析以及搜索工具和信息交换工具,使研究人员可以就新鉴定的脂蛋白交换结果。该网站以及有关生物合成途径的其他信息,预测脂蛋白的统计数据和相关数据,可在http://www.mrc-lmb.cam.ac.uk/genomes/dolop/上找到。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号