PMID- 26398199
OWN - NLM
STAT- MEDLINE
DCOM- 20161005
LR  - 20190109
IS  - 1557-8976 (Electronic)
IS  - 0882-8245 (Print)
IS  - 0882-8245 (Linking)
VI  - 28
IP  - 10
DP  - 2015 Dec
TI  - Identification of Conserved Peptides Comprising Multiple T Cell Epitopes of 
      Matrix 1 Protein in H1N1 Influenza Virus.
PG  - 570-9
LID - 10.1089/vim.2015.0060 [doi]
AB  - Cell mediated immune response plays a key role in combating viral infection and 
      thus identification of new vaccine targets manifesting T cell mediated response 
      may serve as an ideal approach for influenza vaccine. The present study involves 
      the application of an immunoinformatics-based consensus approach for epitope 
      prediction (three epitope prediction tools each for CD4+ and CD8+ T cell 
      epitopes) and molecular docking to identify peptide sequences containing T cell 
      epitopes using the conserved sequences from all the Matrix 1 protein sequences of 
      H1N1 virus available until April 2015. Three peptides comprising CD4+ and CD8+ T 
      cell epitopes were obtained, which were not exactly reported in earlier studies. 
      Population coverage study of these multi-epitope peptides revealed that they are 
      capable of inducing a potent immune response belonging to individuals from 
      different populations and ethnicity distributed around the globe. Conservation 
      study with other subtypes of influenza virus infecting humans (H2N2, H5N1, H7N9, 
      and H3N2) revealed that these three peptides were conserved (>90%), with 100% 
      identity in most of these strains. Hence, these peptides can impart immunity 
      against H1N1 as well as other subtypes of influenza virus. A molecular docking 
      study of the predicted peptides with class I and II human leukocyte antigen (HLA) 
      molecules has shown that the majority of them have comparable binding energies to 
      that of native peptides. Hence, these peptides from Matrix 1 protein of H1N1 
      appear to be promising candidates for universal vaccine design.
FAU - Lohia, Neha
AU  - Lohia N
AD  - Department of Biotechnology, Thapar University , Patiala, India .
FAU - Baranwal, Manoj
AU  - Baranwal M
AD  - Department of Biotechnology, Thapar University , Patiala, India .
LA  - eng
PT  - Journal Article
DEP - 20150923
PL  - United States
TA  - Viral Immunol
JT  - Viral immunology
JID - 8801552
RN  - 0 (Epitopes, T-Lymphocyte)
RN  - 0 (Histocompatibility Antigens Class I)
RN  - 0 (Histocompatibility Antigens Class II)
RN  - 0 (M1 protein, Influenza A virus)
RN  - 0 (Viral Matrix Proteins)
SB  - IM
MH  - Computational Biology
MH  - *Conserved Sequence
MH  - Epitopes, T-Lymphocyte/*immunology
MH  - Histocompatibility Antigens Class I/chemistry/metabolism
MH  - Histocompatibility Antigens Class II/chemistry/metabolism
MH  - Humans
MH  - Influenza A Virus, H1N1 Subtype/*immunology
MH  - Molecular Docking Simulation
MH  - Protein Binding
MH  - Viral Matrix Proteins/chemistry/*immunology/metabolism
PMC - PMC4677511
EDAT- 2015/09/24 06:00
MHDA- 2016/10/07 06:00
PMCR- 2016/12/01
CRDT- 2015/09/24 06:00
PHST- 2015/09/24 06:00 [entrez]
PHST- 2015/09/24 06:00 [pubmed]
PHST- 2016/10/07 06:00 [medline]
PHST- 2016/12/01 00:00 [pmc-release]
AID - 10.1089/vim.2015.0060 [pii]
AID - 10.1089/vim.2015.0060 [doi]
PST - ppublish
SO  - Viral Immunol. 2015 Dec;28(10):570-9. doi: 10.1089/vim.2015.0060. Epub 2015 Sep 
      23.