Suppr超能文献

EVALLER:用于潜在蛋白质致敏性计算机模拟评估的网络服务器。

EVALLER: a web server for in silico assessment of potential protein allergenicity.

作者信息

Martinez Barrio Alvaro, Soeria-Atmadja Daniel, Nistér Anders, Gustafsson Mats G, Hammerling Ulf, Bongcam-Rudloff Erik

机构信息

Linnaeus Centre for Bioinformatics, Uppsala Biomedical Centre (BMC), Uppsala University, P.O. Box 598, SE-751 24 Uppsala, Sweden.

出版信息

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W694-700. doi: 10.1093/nar/gkm370. Epub 2007 May 30.

Abstract

Bioinformatics testing approaches for protein allergenicity, involving amino acid sequence comparisons, have evolved appreciably over the last several years to increased sophistication and performance. EVALLER, the web server presented in this article is based on our recently published 'Detection based on Filtered Length-adjusted Allergen Peptides' (DFLAP) algorithm, which affords in silico determination of potential protein allergenicity of high sensitivity and excellent specificity. To strengthen bioinformatics risk assessment in allergology EVALLER provides a comprehensive outline of its judgment on a query protein's potential allergenicity. Each such textual output incorporates a scoring figure, a confidence numeral of the assignment and information on high- or low-scoring matches to identified allergen-related motifs, including their respective location in accordingly derived allergens. The interface, built on a modified Perl Open Source package, enables dynamic and color-coded graphic representation of key parts of the output. Moreover, pertinent details can be examined in great detail through zoomed views. The server can be accessed at http://bioinformatics.bmc.uu.se/evaller.html.

摘要

用于蛋白质致敏性的生物信息学测试方法,包括氨基酸序列比较,在过去几年中有了显著发展,变得更加成熟和高效。本文介绍的网络服务器EVALLER基于我们最近发表的“基于过滤后的长度调整过敏原肽的检测”(DFLAP)算法,该算法能够在计算机上确定潜在蛋白质致敏性,具有高灵敏度和出色的特异性。为了加强过敏学中的生物信息学风险评估,EVALLER提供了对查询蛋白质潜在致敏性判断的全面概述。每个这样的文本输出都包含一个评分数字、赋值的置信度数字以及与已识别的过敏原相关基序的高评分或低评分匹配信息,包括它们在相应衍生过敏原中的各自位置。该界面基于修改后的Perl开源包构建,能够以动态和颜色编码的方式对输出的关键部分进行图形表示。此外,可以通过缩放视图详细查看相关细节。可通过http://bioinformatics.bmc.uu.se/evaller.html访问该服务器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21af/1933222/922ed27c712d/gkm370f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验