title: In silico structure analysis and epitope prediction of E3 CR1-beta protein of Human Adenovirus E for vaccine design.
abstract: BACKGROUND
  Human Adenoviruses are divided into 7 species of Human Adenovirus A to G based on DNA genome homology. The Human Adenovirus E (HAdVs-E) genome is a linear, double-stranded DNA containing 38 protein-coding genes. Wild-type adenoviruses type E, are linked to a number of slight illnesses. The most important part of HAdVs-E is E3 CR1-beta protein which controls the host immune response and viral attachment.
  
  
  METHODS
  We use numerous bio-informatics and immuno-informatics implements comprising sequence and construction tools for construction of 3D model and epitope prediction for HAdVs-E.
  
  
  RESULTS
  The 3D structure of E3 CR1-beta protein was generated and total of ten antigenic B cell epitopes, 6 MHC class I and 11 MHC class II binding peptides were predicted.
  
  
  CONCLUSIONS
  The study was carried out to predict antigenic determinants/epitopes of the E3 CR1-beta protein of Human Adenovirus E along with the 3D protein modeling. The study revealed potential T-cell and B-cell epitopes that can raise the desired immune response against E3 CR1-beta protein and useful in developing effective vaccines against HAdVs-E.
authors.affiliation: Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Bangladesh.
authors.forename: Noman Ibna Amin
authors.initials: NI
authors.lastname: Patwary
authors.affiliation: Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Bangladesh.
authors.forename: Md Saiful
authors.initials: MS
authors.lastname: Islam
authors.affiliation: Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Bangladesh.
authors.forename: Md
authors.initials: M
authors.lastname: Sohel
authors.affiliation: Department of Computer Science and Engineering, Faculty of Science and Technology, Atish Dipankar University of Science and Technology, Bangladesh; Department of Computer Science and Engineering, American International University-Bangladesh, Bangladesh.
authors.forename: Ismot
authors.initials: I
authors.lastname: Ara
authors.affiliation: Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Bangladesh.
authors.forename: Mohd Omar Faruk
authors.initials: MO
authors.lastname: Sikder
authors.affiliation: Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Bangladesh. Electronic address: sm.shahik@gmail.com.
authors.forename: Shah Md
authors.initials: SM
authors.lastname: Shahik
mesh_terms: D017503:Adenovirus E3 Proteins / Q000737:chemistry / Q000276:immunology*; D000260:Adenoviruses, Human / Q000276:immunology*; D001402:B-Lymphocytes / Q000276:immunology*; D003198:Computer Simulation; D000939:Epitopes / Q000737:chemistry; D006801:Humans; D011485:Protein Binding; D013601:T-Lymphocytes / Q000276:immunology*; D014612:Vaccines / Q000737:chemistry*
chemical_list: D017503:Adenovirus E3 Proteins; D000939:Epitopes; D014612:Vaccines
keywords: 3D structure prediction; B cell epitope; Human Adenoviruses E; T cell epitope; Vaccine