Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
National Institute of Immunology, Aruna Asaf Ali Marg, Jawaharlal Nehru University, New Delhi, India.
PLoS One. 2021 Nov 15;16(11):e0258645. doi: 10.1371/journal.pone.0258645. eCollection 2021.
All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays.
所有已批准使用的新型冠状病毒病 (COVID-19) 疫苗均安全、有效,并降低重症风险。尽管关于 COVID-19 患者免疫表现的数据有限,但越来越多的实验证据支持 B 细胞和 T 细胞对严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 感染的缓解具有重要作用。尽管有几种 COVID-19 疫苗具有高功效,但仍需要更有效的疫苗来预防 SARS-CoV-2 的新变体。我们采用了全面的免疫信息学预测算法,并利用与 SARS-CoV 的遗传关系,预测了 SARS-CoV-2 结构蛋白中的潜在免疫表位。SARS-CoV-2 和 SARS-CoV 的 S 和 N 蛋白是抗体检测的主要靶标,这促使我们设计了基于 SARS-CoV-2 结构蛋白 B 细胞和 T 细胞表位的四种多表位疫苗。疫苗构建体中选择的主要表位预计具有抗原性、非变应原性和细胞因子诱导特性。此外,一些预测的表位已在已发表的论文中得到实验验证。此外,我们使用 C-ImmSim 服务器来预测基于表位的疫苗诱导的有效免疫反应。总之,本研究中预测的免疫表位为未来的实验验证提供了一个平台,这可能有助于开发有效的疫苗候选物和基于表位的血清学诊断检测。