A therapeutic epitopes-based vaccine engineering against Salmonella enterica XDR strains for typhoid fever: a Pan-vaccinomics approach

肠沙门氏菌 病毒学 伤寒 表位 沙门氏菌 微生物学 免疫原性 生物 免疫学 免疫系统 抗原 细菌 遗传学
作者
Kanwal Khan,Samiullah Burki,Ahad Amer Alsaiari,Hayaa M. Alhuthali,Nahed S. Alharthi,Khurshid Jalal
出处
期刊:Journal of Biomolecular Structure & Dynamics [Informa]
卷期号:: 1-15
标识
DOI:10.1080/07391102.2023.2246587
摘要

A prevalent food-borne pathogen, Salmonella enterica serotypes Typhi, is responsible for gastrointestinal and systemic infections globally. Salmonella vaccines are the most effective, however, producing a broad-spectrum vaccine remains challenging due to Salmonella's many serotypes. Efforts are urgently required to develop a novel vaccine candidate that can tackle all S. Typhi strains because of their high resistance to multiple kinds of antibiotics (particularly the XDR H58 strain). In this work, we used a computational pangenome-based vaccine design technique on all available (n = 119) S. Typhi reference genomes and identified one TonB-dependent siderophore receptor (WP_001034967.1) as highly conserved and prospective vaccine candidates from the predicted core genome (n = 3,351). The applied pan-proteomics and Immunoinformatic approaches help in the identification of four epitopes that may trigger adequate host body immune responses. Furthermore, the proposed vaccine ensemble demonstrates a stable binding conformation with the examined immunological receptor (HLAs and TRL2/4) and has large interaction energy determined via molecular docking and molecular dynamics simulation techniques. Eventually, an expression vector for the Escherichia. coli K12 strain was constructed from the vaccine sequence. Additional analysis revealed that the vaccine may help to elicit strong immune responses for typhoid infections, however, experimental analysis is required to verify the vaccine's effectiveness based on these results. Moreover, the applied computer-assisted vaccine design may considerably decrease vaccine development costs and speed up the process. The study's findings are intriguing, but they must be evaluated in the experimental labs to confirm the developed vaccine's biological efficiency against XDR S. Typhi.Communicated by Ramaswamy H. Sarma.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
朱一龙发布了新的文献求助30
1秒前
中大王完成签到,获得积分10
1秒前
1秒前
啦啦啦完成签到 ,获得积分10
1秒前
艺阳完成签到,获得积分10
2秒前
2秒前
俏皮大地完成签到 ,获得积分10
2秒前
LLL发布了新的文献求助10
2秒前
共享精神应助卡卡采纳,获得10
3秒前
3秒前
3秒前
3秒前
大菠萝发布了新的文献求助10
3秒前
HEIKU应助帅酷的小刺猬采纳,获得10
4秒前
深情的嘉熙完成签到,获得积分10
4秒前
顺利涵菡完成签到,获得积分20
4秒前
斯文败类应助Jack采纳,获得10
4秒前
4秒前
狂野觅云发布了新的文献求助10
5秒前
wanci应助yyy采纳,获得10
5秒前
Abao发布了新的文献求助10
6秒前
无花果应助jagger采纳,获得10
6秒前
旺大财发布了新的文献求助10
6秒前
tanbao完成签到,获得积分10
7秒前
共享精神应助MHB采纳,获得50
7秒前
美丽小蕾发布了新的文献求助10
7秒前
anan发布了新的文献求助10
7秒前
goodgoodstudy发布了新的文献求助10
7秒前
7秒前
huifang完成签到,获得积分10
7秒前
yan儿完成签到,获得积分10
8秒前
9秒前
Dipsy完成签到,获得积分10
9秒前
10秒前
英姑应助狂野觅云采纳,获得10
10秒前
晶晶妹妹完成签到,获得积分10
11秒前
黑妖完成签到,获得积分10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762