Contriving multiepitope subunit vaccine by exploiting structural and nonstructural viral proteins to prevent Epstein–Barr virus‐associated malignancy

病毒学 生物 爱泼斯坦-巴尔病毒 病毒 蛋白质亚单位 遗传学 基因
作者
Rupal Ojha,Raj Nandani,Vijay Kumar Prajapati
出处
期刊:Journal of Cellular Physiology [Wiley]
卷期号:234 (5): 6437-6448 被引量:15
标识
DOI:10.1002/jcp.27380
摘要

Cancer is one of the common lifestyle diseases and is considered to be the leading cause of death worldwide. Epstein-Barr virus (EBV)-infected individuals remain asymptomatic; but under certain stress conditions, EBV may lead to the development of cancers such as Burkitt's and Hodgkin's lymphoma and nasopharyngeal carcinoma. EBV-associated cancers result in a large number of deaths in Asian and African population, and no effective cure has still been developed. We, therefore, tried to devise a subunit vaccine with the help of immunoinformatic approaches that can be used for the prevention of EBV-associated malignancies. The epitopes were predicted through B-cell, cytotoxic T lymphocytes (CTL), and helper T lymphocytes (HTL) from the different oncogenic proteins of EBV. A vaccine was designed by combining the B-cell and T-cell (HTL and CTL) epitopes through linkers, and for the enhancement of immunogenicity, an adjuvant was added at the N-terminal. Further, homology modeling was performed to generate the 3D structure of the designed vaccine. Moreover, molecular docking was performed between the designed vaccine and immune receptor (TLR-3) to determine the interaction between the final vaccine construct and the immune receptor complex. In addition, molecular dynamics was performed to analyze the stable interactions between the ligand final vaccine model and receptor TLR-3 molecule. Lastly, to check the expression of our vaccine construct, we performed in silico cloning. This study needed experimental validation to ensure its effectiveness and potency to control malignancy.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Joshua完成签到,获得积分10
1秒前
woobinhua发布了新的文献求助10
1秒前
大渣饼完成签到 ,获得积分10
1秒前
四月完成签到 ,获得积分10
1秒前
wind完成签到 ,获得积分10
2秒前
hjc完成签到,获得积分10
3秒前
耍酷的白山完成签到,获得积分10
4秒前
caixiaoz完成签到,获得积分10
4秒前
guozeyi发布了新的文献求助10
4秒前
木木完成签到,获得积分10
4秒前
无解完成签到,获得积分10
5秒前
好困应助yuxiao采纳,获得10
5秒前
牛奶开水完成签到 ,获得积分10
6秒前
7秒前
7秒前
8秒前
吃饱了就晒太阳完成签到,获得积分10
9秒前
好困应助dddd采纳,获得10
9秒前
搞怪的凡蕾完成签到,获得积分10
9秒前
凌晨五点的完成签到,获得积分10
10秒前
啊啊啊完成签到,获得积分10
11秒前
11秒前
ColdPomelo完成签到,获得积分10
12秒前
12秒前
13秒前
威武以菱完成签到 ,获得积分10
13秒前
小绵羊发布了新的文献求助10
13秒前
酷波er应助Lucy采纳,获得10
13秒前
蛋花肉圆汤完成签到,获得积分10
13秒前
小太阳完成签到,获得积分10
14秒前
CodeCraft应助Sky我的小清新采纳,获得10
16秒前
qqy完成签到,获得积分10
16秒前
sss完成签到,获得积分10
17秒前
LM完成签到,获得积分10
18秒前
机智的曼易完成签到 ,获得积分10
19秒前
加菲丰丰应助忍忍采纳,获得10
19秒前
馥日祎完成签到,获得积分10
20秒前
laihama完成签到,获得积分10
20秒前
海棠花未眠完成签到,获得积分10
20秒前
you完成签到,获得积分10
21秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
An Introduction to Geographical and Urban Economics: A Spiky World Book by Charles van Marrewijk, Harry Garretsen, and Steven Brakman 500
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3150658
求助须知:如何正确求助?哪些是违规求助? 2802207
关于积分的说明 7846456
捐赠科研通 2459547
什么是DOI,文献DOI怎么找? 1309286
科研通“疑难数据库(出版商)”最低求助积分说明 628821
版权声明 601757