PMID- 31370224
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231013
IS  - 2076-2607 (Print)
IS  - 2076-2607 (Electronic)
IS  - 2076-2607 (Linking)
VI  - 7
IP  - 8
DP  - 2019 Jul 31
TI  - Peptide-Based Subunit Vaccine Design of T- and B-Cells Multi-Epitopes against 
      Zika Virus Using Immunoinformatics Approaches.
LID - 10.3390/microorganisms7080226 [doi]
LID - 226
AB  - The Zika virus disease, also known as Zika fever is an arboviral disease that 
      became epidemic in the Pacific Islands and had spread to 18 territories of the 
      Americas in 2016. Zika virus disease has been linked to several health problems 
      such as microcephaly and the Guillain-Barre syndrome, but to date, there has been 
      no vaccine available for Zika. Problems related to the development of a vaccine 
      include the vaccination target, which covers pregnant women and children, and the 
      antibody dependent enhancement (ADE), which can be caused by non-neutralizing 
      antibodies. The peptide vaccine was chosen as a focus of this study as a safer 
      platform to develop the Zika vaccine. In this study, a collection of Zika 
      proteomes was used to find the best candidates for T- and B-cell epitopes using 
      the immunoinformatics approach. The most promising T-cell epitopes were mapped 
      using the selected human leukocyte antigen (HLA) alleles, and further molecular 
      docking and dynamics studies showed a good peptide-HLA interaction for the best 
      major histocompatibility complex-II (MHC-II) epitope. The most promising B-cell 
      epitopes include four linear peptides predicted to be cross-reactive with 
      T-cells, and conformational epitopes from two proteins accessible by antibodies 
      in their native biological assembly. It is believed that the use of 
      immunoinformatics methods is a promising strategy against the Zika viral 
      infection in designing an efficacious multiepitope vaccine.
FAU - Prasasty, Vivitri Dewi
AU  - Prasasty VD
AUID- ORCID: 0000-0002-2992-1247
AD  - Faculty of Biotechnology, Atma Jaya Catholic University of Indonesia, Jakarta 
      12930, Indonesia. vivitri.dewi@atmajaya.ac.id.
FAU - Grazzolie, Karel
AU  - Grazzolie K
AD  - Department of Biology, Faculty of Life Science, Surya University, Tangerang, 
      Banten 15143, Indonesia.
FAU - Rosmalena, Rosmalena
AU  - Rosmalena R
AD  - Department of Medical Chemistry, Faculty of Medicine, Universitas Indonesia, 
      Depok 16424, Indonesia.
FAU - Yazid, Fatmawaty
AU  - Yazid F
AD  - Department of Medical Chemistry, Faculty of Medicine, Universitas Indonesia, 
      Depok 16424, Indonesia.
FAU - Ivan, Fransiskus Xaverius
AU  - Ivan FX
AD  - Department of Biology, Faculty of Life Science, Surya University, Tangerang, 
      Banten 15143, Indonesia.
FAU - Sinaga, Ernawati
AU  - Sinaga E
AD  - Faculty of Biology, Universitas Nasional, Jakarta 12520, Indonesia.
LA  - eng
GR  - Research Funding Scheme 2018/Atma Jaya Catholic University of Indonesia, Surya 
      University, Unversitas Indonesia and Universitas Nasional/
PT  - Journal Article
DEP - 20190731
PL  - Switzerland
TA  - Microorganisms
JT  - Microorganisms
JID - 101625893
PMC - PMC6722788
OTO - NOTNLM
OT  - Zika virus
OT  - epitope
OT  - immunoinformatics
OT  - molecular docking
OT  - molecular dynamics
OT  - peptide vaccine
COIS- The authors declare no conflict of interest.
EDAT- 2019/08/03 06:00
MHDA- 2019/08/03 06:01
PMCR- 2019/07/31
CRDT- 2019/08/03 06:00
PHST- 2019/06/27 00:00 [received]
PHST- 2019/07/15 00:00 [revised]
PHST- 2019/07/24 00:00 [accepted]
PHST- 2019/08/03 06:00 [entrez]
PHST- 2019/08/03 06:00 [pubmed]
PHST- 2019/08/03 06:01 [medline]
PHST- 2019/07/31 00:00 [pmc-release]
AID - microorganisms7080226 [pii]
AID - microorganisms-07-00226 [pii]
AID - 10.3390/microorganisms7080226 [doi]
PST - epublish
SO  - Microorganisms. 2019 Jul 31;7(8):226. doi: 10.3390/microorganisms7080226.