Advances of computational methods enhance the development of multi-epitope vaccines
Yiwen Wei, Tianyi Qiu, Yisi Ai, Yuxi Zhang, Junting Xie, Dong Zhang, Xiaochuan Luo, Xiulan Sun, Xin Wang, Jingxuan Qiu
Abstract
Vaccine development is one of the most promising fields, and multi-epitope vaccine, which does not need laborious culture processes, is an attractive alternative to classical vaccines with the advantage of safety, and efficiency. The rapid development of algorithms and the accumulation of immune data have facilitated the advancement of computer-aided vaccine design. Here we systemically reviewed the in silico data and algorithms resource, for different steps of computational vaccine design, including immunogen selection, epitope prediction, vaccine construction, optimization, and evaluation. The performance of different available tools on epitope prediction and immunogenicity evaluation was tested and compared on benchmark datasets. Finally, we discuss the future research direction for the construction of a multiepitope vaccine.