Computational design of a legacy-based epitope vaccine against Human Cytomegalovirus

Monica Quinzo, Esther M. Lafuente, Pedro A. Reche, Darren R Flower

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Human Cytomegalovirus (HCMV) is a ubiquitous herpesvirus affecting approximately 90% of the world population. HCMV causes disease in immunologically-naive and immunosuppressed patient. The prevention, diagnosis and therapy of HCMV infection are thus crucial to public health. Despite the development of multiple prophylactic and pre-emptive therapeutic approaches, effective treatments remain a significant challenge. Thus, we sought to develop an epitope ensemble vaccine against HCMV by analyzing experimentally-defined HCMV-specific epitopes that effectively elicit B cell, CD4 T cell and CD8 T cell responses. The T cell component consists of 6 CD8 and 4 CD4 conserved T cell epitopes that were predicted to provide a population protection coverage over 90% and 80%. The B cell component consists of 2 B cell epitopes mapping onto glycoproteins L and H, respectively, which were selected by flexibility and solvent accessibility criteria. The proposed biological component makes this vaccine formulation not only multifunctional but also multi-antigenic, since it targets different early antigens that are vital for viral tropism, latency establishment, and replication. Here, we discuss the fundamental evidence supporting this approach and analyze its present limits
Original languageEnglish
Title of host publication2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherIEEE
Pages1411-1417
Number of pages7
ISBN (Electronic)978-1-5386-5488-0
ISBN (Print)978-1-5386-5489-7
DOIs
Publication statusPublished - 24 Jan 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Madrid, Spain
Duration: 3 Dec 20186 Dec 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
CountrySpain
CityMadrid
Period3/12/186/12/18

Keywords

  • HCMV
  • epitopes
  • prediction
  • vaccine

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    Quinzo, M., Lafuente, E. M., Reche, P. A., & Flower, D. R. (2019). Computational design of a legacy-based epitope vaccine against Human Cytomegalovirus. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1411-1417). [8621537] IEEE. https://doi.org/10.1109/BIBM.2018.8621537