SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK, United States.
Front Immunol. 2023 Jun 15;14:1172734. doi: 10.3389/fimmu.2023.1172734. eCollection 2023.
The opinion flows from Introduction to the immunological quantum that requires a historical perspective, to Quantum vaccine algorithms supported by a bibliometric analysis, to Quantum vaccinomics describing from our perspective the different vaccinomics and quantum vaccinomics algorithms. Finally, in the Discussion and conclusions we propose novel platforms and algorithms developed to further advance on quantum vaccinomics. In the paper we refer to protective epitopes or immunological quantum for the design of candidate vaccine antigens, which may elicit a protective response through both cellular and antibody mediated mechanisms of the host immune system. Vaccines are key interventions for the prevention and control of infectious diseases affecting humans and animals worldwide. Biophysics led to quantum biology and quantum immunology reflecting quantum dynamics within living systems and their evolution. In analogy to quantum of light, immune protective epitopes were proposed as the immunological quantum. Multiple quantum vaccine algorithms were developed based on omics and other technologies. Quantum vaccinomics is the methodological approach with different platforms used for the identification and combination of immunological quantum for vaccine development. Current quantum vaccinomics platforms include , and algorithms and top trends in biotechnology for the identification, characterization and combination of candidate protective epitopes. These platforms have been applied to different infectious diseases and in the future should target prevalent and emerging infectious diseases with novel algorithms.
该观点源自需要历史视角的免疫学量子导论，到通过文献计量分析支持的量子疫苗算法，再到从我们的角度描述不同疫苗组学和量子疫苗组学算法的量子疫苗组学。最后，在讨论和结论中，我们提出了为进一步推进量子疫苗组学而开发的新平台和算法。在本文中，我们提到了保护性表位或免疫量子，用于设计候选疫苗抗原，这些抗原可以通过宿主免疫系统的细胞和抗体介导机制引发保护性反应。疫苗是预防和控制全球范围内影响人类和动物的传染病的关键干预措施。生物物理导致了量子生物学和量子免疫学，反映了生命系统及其进化中的量子动力学。类似于光量子，免疫保护性表位被提出作为免疫量子。基于组学和其他技术开发了多种量子疫苗算法。量子疫苗组学是一种方法学方法，使用不同的平台来识别和组合用于疫苗开发的免疫量子。当前的量子疫苗组学平台包括、和算法以及生物技术的最新趋势，用于识别、表征和组合候选保护性表位。这些平台已应用于不同的传染病，未来应针对具有新型算法的流行和新发传染病。
