利用免疫信息学方法设计基于多表位的SARS-CoV-2候选肽疫苗。

BioImpacts : BI Pub Date : 2022-01-01 Epub Date: 2022-02-27 DOI:10.34172/bi.2022.23769
Ysrafil Ysrafil, Zulfiayu Sapiun, Indwiani Astuti, Mohammad Anas Anasiru, Nangsih Sulastri Slamet, Hartati Hartati, Fadli Husain, Sukmawati Ahmad Damiti
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引用次数: 6

摘要

导言:目前新型冠状病毒病的发病率仅出现小幅下降,已成为一项重大的公共卫生挑战。目前仍在鼓励开发针对该病毒的有效疫苗,例如根据SARS-CoV-2的成分(包括其刺突、核衣壳和ORF1a蛋白)设计的多表位疫苗。由于添加HABA蛋白和L7/L12核糖体等佐剂有助于提高所设计疫苗的有效性,我们提出用两种不同的佐剂设计多表位疫苗。方法:利用IEDB服务器预测BCL和TCL表位,并利用VaxiJen、AllPred和IL-10预测等在线工具对其进行表征。选择的表位进一步构建成多表位疫苗。我们还在疫苗成分中添加了两种不同的佐剂,以提高疫苗的有效性。3d结构疫苗是使用trRosetta构建的。使用ClusPro、PatchDock和FireDock进一步与不同的toll样受体(tlr3、4和8)和SARS-CoV-2的进入受体ACE2进行对接。所有结构均通过USCF Chimera和PyMOL可视化。结果:在本研究中,我们通过添加HABA蛋白和L7/L12核糖体作为佐剂,成功设计了两种不同的候选疫苗。这两种疫苗在理化性质和特性方面几乎一样好。同样,它们与TLR3 4、8和ACE2的强相互作用表明,两者的最低能级估计在- 1000以上。疫苗与ACE2和tlr的相互作用对于激活免疫反应和产生抗体至关重要。结论:设计构建的两种多表位疫苗具有良好的特性,可能具有激活针对SARS-CoV-2的体液和细胞免疫应答的潜力。值得考虑进一步的研究来证实本研究的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach.

Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach.

Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach.

Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach.

Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from the components of SARS-CoV-2 including its spike, nucleocapsid and ORF1a proteins. Since the addition of adjuvants including HABA protein and L7/L12 ribosomal are considered helpful to increase the effectiveness of the designed vaccine, we proposed to design multiepitope vaccines by two different adjuvants. Methods: We used the IEDB server to predict BCL and TCL epitopes that were characterized using online tools including VaxiJen, AllPred and IL-10 Prediction. The selected epitopes were further constructed into multiepitope vaccines. We also added two different adjuvants to the vaccine components in order to increase the effectiveness of the vaccines. The 3D-structured vaccines were built using trRosetta. They were further docked with different Toll-like-receptors (TLR 3, 4 and 8) and the entry receptor of SARS-CoV-2, ACE2 using ClusPro, PatchDock and refined by FireDock. All structures were visualized by USCF Chimera and PyMOL. Results: In this study, we succeeded in designing two different candidate vaccines by the addition of HABA protein and L7/L12 ribosomal as adjuvants. The two vaccines were almost equally good in terms of their physicochemical properties and characteristics. Likewise, their strong interactions with TLR3 4, 8 and ACE2 show the lowest energy level of both was estimated at more than -1,000. Interactions of vaccines with ACE2 and TLRs are essential for activation of immune responses and production of antibodies. Conclusion: The two designed and constructed multiepitope vaccine have good characteristics and may have the potential to activate humoral and cellular immune responses against SARS-CoV-2. Further research is worth considering to confirm the findings of this study.

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