Identification of conserved immunogenic peptides of SARS-CoV-2 nucleocapsid protein

鉴定(生物学) 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 保守序列 计算生物学 冠状病毒 生物 病毒学 2019年冠状病毒病(COVID-19) 肽序列 遗传学 医学 基因 传染病(医学专业) 植物 病理 疾病
作者
Jitender Verma,Neha Kaushal,Manish Manish,Naidu Subbarao,Venera Shakirova,Ekaterina Martynova,Rongzeng Liu,Shaimaa Hamza,Albert A. Rizvanov,Svetlana Khaiboullina,Manoj Baranwal
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:: 1-17 被引量:1
标识
DOI:10.1080/07391102.2023.2260484
摘要

AbstractThe emergence of the new SARS-CoV-2 variants has led to major concern regarding the efficacy of approved vaccines. Nucleocapsid is a conserved structural protein essential for replication of the virus. This study focuses on identifying conserved epitopes on the nucleocapsid (N) protein of SARS-CoV-2. Using 510 unique amino acid sequences of SARS-CoV-2 N protein, two peptides (193 and 215 aa) with 90% conservancy were selected for T cell epitope prediction. Three immunogenic peptides containing multiple T cell epitopes were identified which were devoid of autoimmune and allergic immune response. These peptides were also conserved (100%) in recent Omicron variants reported in Jan-August 2023. HLA analysis reveals that these peptides are predicted as binding to large number of HLA alleles and 71–90% population coverage in six continents. Identified peptides displayed good binding score with both HLA class I and HLA class II molecules in the docking study. Also, a vaccine construct docked with TLR-4 receptor displays strong interaction with 20 hydrogen bonds and molecular simulation analysis reveals that docked complex are stable. Additionally, the immunogenicity of these N protein peptides was confirmed using SARS-CoV-2 convalescent serum samples. We conclude that the identified N protein peptides contain highly conserved and antigenic epitopes which could be used as a target for the future vaccine development against SARS-CoV-2.Communicated by Ramaswamy H. SarmaKeywords: NucleocapsidTLR-4SARS-CoV-2vaccine constructomicron AcknowledgmentsI would like to acknowledge Professor Andrew M. Lynn from School of Computational & Integrative Sciences, Jawaharlal Nehru University for this suggestion in molecular docking and simulation study.Author contributionsJV: Original draft, data curation, formal analysis. NK, MM, VS, EM, SH: Data curation, formal analysis, review and editing. NS, RL, AR, SF, MB: Conceptualization, review and editing and supervision.Disclosure statementNo potential conflict of interest was reported by the authors.Institutional review board statementThis study was conducted in accordance with the Declaration of Helsinki and approved by the Local Ethics Committee (66/2012/U/Oss).Ethics statementThe ethics committee of the Kazan State Medical Academy approved this study, and signed informed consent was obtained from each COVID-19 patient and controls according to the guidelines adopted under this protocol (protocol 4/09 of the meeting of the ethics committee of the KSMA dated September 26, 2019).Informed consent statementInformed consent was obtained from all the subjects involved in the study.Additional informationFundingThis work was supported by the Kazan federal University program of Competitive Growth and Strategic Academic Leadership Program (PRIORITY-2030).
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
Eureka发布了新的文献求助10
1秒前
钵钵鸡完成签到 ,获得积分20
2秒前
JJ完成签到,获得积分10
2秒前
doctorbin完成签到 ,获得积分10
3秒前
深情安青应助龙共采纳,获得10
4秒前
dddd完成签到 ,获得积分10
5秒前
小付完成签到,获得积分10
9秒前
Bonnie关注了科研通微信公众号
10秒前
10秒前
研路漫漫应助吴书维采纳,获得10
10秒前
小狗完成签到 ,获得积分10
11秒前
13秒前
慕青应助Boniu_wang采纳,获得10
15秒前
研路漫漫应助Xiaoxiao采纳,获得10
15秒前
江南烟雨如笙完成签到 ,获得积分10
15秒前
lp发布了新的文献求助10
17秒前
一直发布了新的文献求助10
17秒前
19秒前
Ava应助JacksonHe采纳,获得10
21秒前
21秒前
莫氓完成签到,获得积分10
22秒前
23秒前
wang完成签到 ,获得积分10
23秒前
打打应助Science采纳,获得10
23秒前
25秒前
研路漫漫发布了新的文献求助10
27秒前
28秒前
风清扬发布了新的文献求助30
28秒前
酷波er应助科研进化中采纳,获得10
28秒前
准了完成签到,获得积分20
30秒前
JamesPei应助义气绿柳采纳,获得10
32秒前
33秒前
宋祝福完成签到 ,获得积分10
33秒前
35秒前
36秒前
龙共发布了新的文献求助10
37秒前
JamesPei应助000采纳,获得10
38秒前
Science完成签到,获得积分10
38秒前
qwf完成签到 ,获得积分10
38秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3966223
求助须知:如何正确求助?哪些是违规求助? 3511662
关于积分的说明 11159065
捐赠科研通 3246265
什么是DOI,文献DOI怎么找? 1793321
邀请新用户注册赠送积分活动 874331
科研通“疑难数据库(出版商)”最低求助积分说明 804343