探索先进的基因组学和免疫信息学技术,以确定抗击 SARS-CoV-2 的药物和疫苗靶点

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology Journal of Genetic Engineering and Biotechnology Pub Date : 2024-11-16 DOI:10.1016/j.jgeb.2024.100439
Syed Luqman Ali , Awais Ali , Waseef Ullah , Abdulaziz Alamri , Elham Mohammed Khatrawi , Gulzira Sagimova , Aigul Almabayeva , Farida Rakhimzhanova , Gulsum Askarova , Fatima Suleimenova , Nabras Al-Mahrami , Prasanta Kumar Parida
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引用次数: 0

摘要

导致严重急性呼吸系统综合征的冠状病毒。严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)仍然是公共卫生和生物医学领域的一大难题。即使无法治愈,感染仍在自然发展,只有在感染初期,强力霉素等最佳治疗选择才能发挥作用。我们的项目分为两个关键部分:第一部分侧重于识别潜在的药物靶点,第二部分侧重于疫苗设计,目的都是探索治疗这种疾病的新方法。首先,对通过减法分析确定的细胞质蛋白质进行全面评估,以确定潜在的药物靶点,重点是代谢途径、同源性预测、可药性评估、必需性以及蛋白质与蛋白质之间的相互作用。随后,对表面蛋白的过敏性、抗原性、理化属性、保守区域、蛋白质相互作用以及 B 细胞和 T 细胞表位的鉴定进行了严格评估。然后利用分子对接和免疫学模拟分析,结合上述评估结果,开发多表位疫苗并确定其特性。研究结果表明,六种蛋白质是 SARS-CoV-2 的潜在关键治疗靶点,每种蛋白质都参与了不同的代谢过程。反向疫苗学分析表明,以下蛋白质可用作候选疫苗:sp|P05106、sp|O00187、sp|Q9NYK1、sp|P05556、sp|P09958 和 sp|Q9HC29。通过使用不同的佐剂和从排名靠前的原蛋白中预测出的 18 个 B 细胞重叠表位,设计出了四种多表位疫苗,分别命名为 SARS-COV-2-、C1、C2、C3 和 C4。根据免疫模拟研究,疫苗表现出了足够的免疫反应性,并与收费型受体(TLR4、TLR8、HLA 等 ACE)发生了良好的接触,其中 SARS-COV-2-C2 在所有受体中表现出了最佳的结合亲和力。这项研究的结果可能会改变研制有效抗击 SARS-CoV-2 的疫苗和药物的进程。不过,还需要进行更多的实验分析。
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Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
The coronavirus that causes serious acute respiratory syndrome. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still a major problem in public health and biomedicine. Even if there is no cure for it, the infection is still progressing naturally, and the only time that optimal treatment choices, such as doxycycline, work is at the beginning of the infection. Our project is structured into two critical parts: the first focuses on the identification of potential drug targets, and the second on vaccine design, both aimed at exploring new ways to treat the disease. Initially, cytoplasmic proteins identified through subtractive analysis underwent comprehensive evaluation for potential drug targeting, focusing on metabolic pathways, homology prediction, drugability assessment, essentiality, and protein–protein interactions. Subsequently, surface proteins underwent rigorous assessment for allergenicity, antigenicity, physiochemical attributes, conserved regions, protein interactions, and identification of B and T cell epitopes. Molecular docking and immunological simulation analyses were then employed to develop and characterize a multi-epitope vaccine, integrating findings from the aforementioned evaluations. Findings from the study point to six proteins as potential critical therapeutic targets for SARS-CoV-2, each of which is involved in a distinct metabolic process. The reverse vaccinology analysis suggested that the following proteins could be used as vaccine candidates: sp|P05106, sp|O00187, sp|Q9NYK1, sp|P05556, sp|P09958, and sp|Q9HC29. Four multi-epitope vaccine named as SARS-COV-2-, C1, C2, C3, and C4 was designed by utilizing different adjuvants and eighteen B cell overlapped epitopes which were predicted from top ranked protiens. Based on immune simulation study, the vaccine exhibited adequate immune-reactivity and favorable encounters with toll-type receptors (TLR4, TLR8, HLA, etc ACE), Among them the SARS-COV-2-C2 showed best binding affinity of which all receptors. Findings from this study could be a game-changer in the quest to develop a vaccine and medication that effectively combat SARS-CoV-2. It is necessary to do additional experimental analyses, nevertheless.
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来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
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