Bonin Carla Rezende Barbosa, Fernandes Guilherme Cortes, Dos Santos Rodrigo Weber, Lobosco Marcelo
a Postgraduate Program in Computational Modeling, Federal University of Juiz de Fora , Juiz de Fora , Brazil.
b Medical School, Presidente Antônio Carlos University , Juiz de Fora , Brazil.
Hum Vaccin Immunother. 2017 Feb;13(2):484-489. doi: 10.1080/21645515.2017.1264774. Epub 2016 Dec 27.
New contributions that aim to accelerate the development or to improve the efficacy and safety of vaccines arise from many different areas of research and technology. One of these areas is computational science, which traditionally participates in the initial steps, such as the pre-screening of active substances that have the potential to become a vaccine antigen. In this work, we present another promising way to use computational science in vaccinology: mathematical and computational models of important cell and protein dynamics of the immune system. A system of Ordinary Differential Equations represents different immune system populations, such as B cells and T cells, antigen presenting cells and antibodies. In this way, it is possible to simulate, in silico, the immune response to vaccines under development or under study. Distinct scenarios can be simulated by varying parameters of the mathematical model. As a proof of concept, we developed a model of the immune response to vaccination against the yellow fever. Our simulations have shown consistent results when compared with experimental data available in the literature. The model is generic enough to represent the action of other diseases or vaccines in the human immune system, such as dengue and Zika virus.
旨在加速疫苗开发或提高疫苗效力及安全性的新贡献源自许多不同的研究和技术领域。其中一个领域是计算科学，它传统上参与初始步骤，例如对有可能成为疫苗抗原的活性物质进行预筛选。在这项工作中，我们提出了在疫苗学中使用计算科学的另一种有前景的方法：免疫系统重要细胞和蛋白质动力学的数学和计算模型。常微分方程组代表不同的免疫系统群体，如B细胞和T细胞、抗原呈递细胞和抗体。通过这种方式，可以在计算机上模拟对正在开发或研究的疫苗的免疫反应。通过改变数学模型的参数可以模拟不同的情况。作为概念验证，我们开发了针对黄热病疫苗接种的免疫反应模型。与文献中可用的实验数据相比，我们的模拟显示出一致的结果。该模型具有足够的通用性，能够代表其他疾病或疫苗在人体免疫系统中的作用，如登革热和寨卡病毒。
