分枝杆菌疾病的R平台综合免疫信息学研究。

Systems and Synthetic Biology Pub Date : 2014-03-01 Epub Date: 2014-02-15 DOI:10.1007/s11693-014-9135-9
Rupanjali Chaudhuri, Deepika Kulshreshtha, Muthukurussi Varieth Raghunandanan, Srinivasan Ramachandran
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引用次数: 25

摘要

对引起肺结核和肺外结核、麻风病和其他非典型分枝杆菌感染的致病性分枝杆菌物种进行基因组测序,为发现新的治疗方法和确定新的候选疫苗提供了巨大的机会。增强型RV在反向疫苗学(Reverse Vaccinology, RV)上使用了额外的算法,具有更大的潜力,可以减少不良特征的可能性,包括致敏性和对宿主的免疫交叉反应性。分枝杆菌rv数据库建设的起点包括收集已知候选疫苗和从22种对人致病性分枝杆菌和1种非致病性结核分枝杆菌H37Ra菌株的全基因组序列中鉴定出的一组预测候选疫苗。这些预测的候选疫苗是黏附素和黏附素样蛋白,使用paan在Pad > 0.6时获得,并使用PSORTb v.3.0在非常严格的切断下筛选假定的细胞外或表面定位特征。随后,通过21种公开可用的算法对这些蛋白质序列进行分析,以获得Orthologs、parogs、BetaWrap motif、跨膜结构域、信号肽、保守结构域以及与人类蛋白质、T细胞表位、B细胞表位、Discotopes和潜在过敏原的相似性预测。增强的RV信息在R平台上通过脚本按照结构良好的决策树进行分析,得出一组非冗余的233种最可能的候选疫苗。此外,根据结核分枝杆菌研究中最常用的菌株结核分枝杆菌H37Rv菌株,获得了所有同源物中潜在表位的保守程度。参考结核分枝杆菌H37Rv菌株同源基因的候选疫苗搜索和表位保守性分析工具可在分枝杆菌rv网站服务器的“下载”选项卡上从R平台上的分枝杆菌rvr包中获得。MycobacRV是一个已知和预测的分枝杆菌候选疫苗的免疫信息学数据库,可在http://mycobacteriarv.igib.res.in免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Integrative immunoinformatics for Mycobacterial diseases in R platform.

The sequencing of genomes of the pathogenic Mycobacterial species causing pulmonary and extrapulmonary tuberculosis, leprosy and other atypical mycobacterial infections, offer immense opportunities for discovering new therapeutics and identifying new vaccine candidates. Enhanced RV, which uses additional algorithms to Reverse Vaccinology (RV), has increased potential to reduce likelihood of undesirable features including allergenicity and immune cross reactivity to host. The starting point for MycobacRV database construction includes collection of known vaccine candidates and a set of predicted vaccine candidates identified from the whole genome sequences of 22 mycobacterium species and strains pathogenic to human and one non-pathogenic Mycobacterium tuberculosis H37Ra strain. These predicted vaccine candidates are the adhesins and adhesin-like proteins obtained using SPAAN at Pad > 0.6 and screening for putative extracellular or surface localization characteristics using PSORTb v.3.0 at very stringent cutoff. Subsequently, these protein sequences were analyzed through 21 publicly available algorithms to obtain Orthologs, Paralogs, BetaWrap Motifs, Transmembrane Domains, Signal Peptides, Conserved Domains, and similarity to human proteins, T cell epitopes, B cell epitopes, Discotopes and potential Allergens predictions. The Enhanced RV information was analysed in R platform through scripts following well structured decision trees to derive a set of nonredundant 233 most probable vaccine candidates. Additionally, the degree of conservation of potential epitopes across all orthologs has been obtained with reference to the M. tuberculosis H37Rv strain, the most commonly used strain in M. tuberculosis studies. Utilities for the vaccine candidate search and analysis of epitope conservation across the orthologs with reference to M. tuberculosis H37Rv strain are available in the mycobacrvR package in R platform accessible from the "Download" tab of MycobacRV webserver. MycobacRV an immunoinformatics database of known and predicted mycobacterial vaccine candidates has been developed and is freely available at http://mycobacteriarv.igib.res.in.

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