Department of Statistics, Ludwig Maximilian Universität, München, Germany.
Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
PLoS Comput Biol. 2020 Oct 23;16(10):e1008237. doi: 10.1371/journal.pcbi.1008237. eCollection 2020 Oct.
Epitope-based vaccines have revolutionized vaccine research in the last decades. Due to their complex nature, bioinformatics plays a pivotal role in their development. However, existing algorithms address only specific parts of the design process or are unable to provide formal guarantees on the quality of the solution. We present a unifying formalism of the general epitope vaccine design problem that tackles all phases of the design process simultaneously and combines all prevalent design principles. We then demonstrate how to formulate the developed formalism as an integer linear program, which guarantees optimality of the designs. This makes it possible to explore new regions of the vaccine design space, analyze the trade-offs between the design phases, and balance the many requirements of vaccines.
基于表位的疫苗在过去几十年中彻底改变了疫苗研究。由于其复杂性,生物信息学在其开发中起着关键作用。然而,现有的算法仅解决设计过程的特定部分,或者无法对解决方案的质量提供正式保证。我们提出了一个通用表位疫苗设计问题的统一形式化方法,该方法同时解决设计过程的所有阶段,并结合了所有流行的设计原则。然后,我们展示如何将所开发的形式化方法表述为整数线性规划,这保证了设计的最优性。这使得探索疫苗设计空间的新区域、分析设计阶段之间的权衡以及平衡疫苗的许多要求成为可能。