Suppr超能文献

结核分枝杆菌临床分离株RD7区域中一种假定蛋白的结构与功能表征——一种针对候选疫苗的计算机模拟方法

Structural and functional characterization of a hypothetical protein in the RD7 region in clinical isolates of Mycobacterium tuberculosis - an in silico approach to candidate vaccines.

作者信息

Kootery Kaviya Parambath, Sarojini Suma

机构信息

Department of Lifesciences, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560029, India.

出版信息

J Genet Eng Biotechnol. 2022 Apr 8;20(1):55. doi: 10.1186/s43141-022-00340-5.

Abstract

BACKGROUND

Mycobacterium tuberculosis has been ravaging humans by inflicting respiratory tuberculosis since centuries. Bacillus Calmette Guerine (BCG) is the only vaccine available for tuberculosis, and it is known to be poorly effective against adult tuberculosis. Proteins belonging to the ESAT-6 family and PE/PPE family show immune responses and are included in different vaccine trials. Herein, we study the functional and structural characterization of a 248 amino acid long putative protein novel hypothetical protein 1 (NHP1) present in the RD7 region of Mycobacterium tuberculosis (identified first by subtractive hybridization in the clinical isolate RGTB123) using bioinformatics tools.

RESULTS

Physicochemical properties were studied using Expasy ProtParam and SMS software. We predicted different B-cell and T-cell epitopes by using the immune epitope database (IEDB) and also tested antigenicity, immunogenicity, and allergenicity. Secondary structure of the protein predicted 30% alpha helices, 20% beta strands, and 48% random coils. Tertiary structure of the protein was predicted using the Robetta server using the Mycobacterium smegmatis protein as the putative protein with homology. Structural evaluations were done with Ramachandran plot analysis, ProSA-web, and VERIFY3D, and with GalaxyWEB server, a more stable structure was validated with good stereo chemical properties.

CONCLUSION

The present study of a subtracted genomic locus using various bioinformatics tools indicated good immunological properties of the putative mycobacterial protein, NHP1. Evidence obtained from the analyses of NHP1 using structure prediction tools strongly point to the fact that NHP1 is an ancient protein having flavodoxin folding structure with ATP binding sites. Positive scores were obtained for antigenicity, immunogenicity, and virulence too, implying the possibility of NHP1 to be a potential vaccine candidate. Such computational studies might give clues for developing newer vaccines for tuberculosis, which is the need of the hour.

摘要

背景

几个世纪以来,结核分枝杆菌一直通过引发呼吸道结核病肆虐人类。卡介苗(BCG)是唯一可用于结核病的疫苗,已知其对成人结核病效果不佳。属于ESAT - 6家族和PE/PPE家族的蛋白质具有免疫反应,并且被纳入不同的疫苗试验。在此,我们使用生物信息学工具研究了结核分枝杆菌RD7区域中一种248个氨基酸长的假定蛋白质——新型假定蛋白1(NHP1)(首先在临床分离株RGTB123中通过消减杂交鉴定)的功能和结构特征。

结果

使用Expasy ProtParam和SMS软件研究理化性质。我们通过免疫表位数据库(IEDB)预测了不同的B细胞和T细胞表位,并测试了抗原性、免疫原性和致敏性。该蛋白质的二级结构预测为30%的α螺旋、20%的β链和48%的无规卷曲。使用Robetta服务器以耻垢分枝杆菌蛋白作为具有同源性的假定蛋白预测了该蛋白质的三级结构。通过拉氏图分析、ProSA - web和VERIFY3D进行结构评估,并使用GalaxyWEB服务器验证了具有良好立体化学性质的更稳定结构。

结论

本研究使用各种生物信息学工具对一个消减基因组位点进行分析,表明假定的分枝杆菌蛋白NHP1具有良好的免疫学特性。使用结构预测工具对NHP1进行分析所获得的证据有力地表明,NHP1是一种具有黄素氧还蛋白折叠结构且带有ATP结合位点的古老蛋白质。在抗原性、免疫原性和毒力方面也获得了阳性评分,这意味着NHP1有可能成为潜在的疫苗候选物。此类计算研究可能为开发针对结核病的新型疫苗提供线索,而这正是当务之急。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e11a/8993957/076b1ee33630/43141_2022_340_Fig1_HTML.jpg

相似文献

3
Prediction and analyses of HLA-II restricted Mycobacterium tuberculosis CD4 T cell epitopes in the Chinese population.
Biotechnol Appl Biochem. 2022 Jun;69(3):1002-1014. doi: 10.1002/bab.2171. Epub 2021 May 4.
4
Analysis of Peptide-Based Biomarkers for the Diagnosis and Prevention of Latent Tuberculosis Infection.
Front Microbiol. 2022 Jun 28;13:947852. doi: 10.3389/fmicb.2022.947852. eCollection 2022.
7
Designing an efficient multi-epitope vaccine against Campylobacter jejuni using immunoinformatics and reverse vaccinology approach.
Microb Pathog. 2020 Oct;147:104398. doi: 10.1016/j.micpath.2020.104398. Epub 2020 Aug 6.
10
Prediction of Epitopes in Virulence Proteins of for Vaccine Designing.
Curr Genomics. 2021 Dec 31;22(7):512-525. doi: 10.2174/1389202922666211129113917.

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