PMID- 27485738
OWN - NLM
STAT- MEDLINE
DCOM- 20170515
LR  - 20181113
IS  - 1365-2567 (Electronic)
IS  - 0019-2805 (Print)
IS  - 0019-2805 (Linking)
VI  - 149
IP  - 4
DP  - 2016 Dec
TI  - From ZikV genome to vaccine: in silico approach for the epitope-based peptide 
      vaccine against Zika virus envelope glycoprotein.
PG  - 386-399
LID - 10.1111/imm.12656 [doi]
AB  - Zika virus (ZikV) has emerged as a potential threat to human health worldwide. A 
      member of the Flaviviridae, ZikV is transmitted to humans by mosquitoes. It is 
      related to other pathogenic vector-borne flaviviruses including dengue, West Nile 
      and Japanese encephalitis viruses, but produces a comparatively mild disease in 
      humans. As a result of its epidemic outbreak and the lack of potential 
      medication, there is a need for improved vaccine/drugs. Computational techniques 
      will provide further information about this virus. Comparative analysis of ZikV 
      genomes should lead to the identification of the core characteristics that define 
      a virus family, as well as its unique properties, while phylogenetic analysis 
      will show the evolutionary relationships and provide clues about the protein's 
      ancestry. Envelope glycoprotein of ZikV was obtained from a protein database and 
      the most immunogenic epitope for T cells and B cells involved in cell-mediated 
      immunity, whereas B cells are primarily responsible for humoral immunity. We 
      mainly focused on MHC class I potential peptides. YRIMLSVHG, VLIFLSTAV and 
      MMLELDPPF, GLDFSDLYY are the most potent peptides predicted as epitopes for 
      CD4(+) and CD8(+) T cells, respectively, whereas MMLELDPPF and GLDFSDLYY had the 
      highest pMHC-I immunogenicity score and these are further tested for interaction 
      against the HLA molecules, using in silico docking techniques to verify the 
      binding cleft epitope. However, this is an introductory approach to design an 
      epitope-based peptide vaccine against ZikV; we hope that this model will be 
      helpful in designing and predicting novel vaccine candidates.
CI  - (c) 2016 John Wiley & Sons Ltd.
FAU - Alam, Aftab
AU  - Alam A
AD  - Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New 
      Delhi, India.
FAU - Ali, Shahnawaz
AU  - Ali S
AD  - Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New 
      Delhi, India.
FAU - Ahamad, Shahzaib
AU  - Ahamad S
AD  - Department of Biotechnology, College of Engineering & Technology, IFTM, 
      Moradabad, India.
FAU - Malik, Md Zubbair
AU  - Malik MZ
AD  - Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New 
      Delhi, India.
FAU - Ishrat, Romana
AU  - Ishrat R
AD  - Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New 
      Delhi, India. rishrat@jmi.ac.in.
LA  - eng
PT  - Journal Article
DEP - 20160907
PL  - England
TA  - Immunology
JT  - Immunology
JID - 0374672
RN  - 0 (DNA, Viral)
RN  - 0 (HLA Antigens)
RN  - 0 (Immunodominant Epitopes)
RN  - 0 (Vaccines, Subunit)
RN  - 0 (Viral Envelope Proteins)
RN  - 0 (Viral Vaccines)
SB  - IM
MH  - Animals
MH  - B-Lymphocytes/*immunology
MH  - CD4-Positive T-Lymphocytes/*immunology
MH  - CD8-Positive T-Lymphocytes/*immunology
MH  - Computational Biology
MH  - Culicidae/virology
MH  - DNA, Viral/genetics
MH  - *Epitope Mapping
MH  - Genome
MH  - HLA Antigens/metabolism
MH  - Humans
MH  - Immunity, Cellular
MH  - Immunity, Humoral
MH  - Immunodominant Epitopes/genetics/metabolism
MH  - Lymphocyte Activation
MH  - Vaccines, Subunit
MH  - Viral Envelope Proteins/genetics/metabolism
MH  - Viral Vaccines/*immunology
MH  - Zika Virus/*physiology
MH  - Zika Virus Infection/*immunology/prevention & control
PMC - PMC5095496
OTO - NOTNLM
OT  - Immune Epitope Database
OT  - MHC class
OT  - Zika virus
OT  - artificial neural network
OT  - epitopes
OT  - immunogenomics
EDAT- 2016/11/05 06:00
MHDA- 2017/05/16 06:00
PMCR- 2017/12/01
CRDT- 2016/08/04 06:00
PHST- 2016/04/07 00:00 [received]
PHST- 2016/07/18 00:00 [revised]
PHST- 2016/07/29 00:00 [accepted]
PHST- 2016/11/05 06:00 [pubmed]
PHST- 2017/05/16 06:00 [medline]
PHST- 2016/08/04 06:00 [entrez]
PHST- 2017/12/01 00:00 [pmc-release]
AID - IMM12656 [pii]
AID - 10.1111/imm.12656 [doi]
PST - ppublish
SO  - Immunology. 2016 Dec;149(4):386-399. doi: 10.1111/imm.12656. Epub 2016 Sep 7.