Prediction of the Most Probable B Cell Epitopes from (DnaK) Adhesin of Mycobacterium tuberculosis Using Immunoinformatic tools-Reference-Cited by-同舟云学术

Prediction of the Most Probable B Cell Epitopes from (DnaK) Adhesin of Mycobacterium tuberculosis Using Immunoinformatic tools

Published:2019-04-05 Issue:1 Volume:26 Page:477-485
ISSN:1573-3149
Container-title:International Journal of Peptide Research and Therapeutics
language:en
Short-container-title:Int J Pept Res Ther

Author:

Mtimet Ghanem,Stayoussef Mouna,Yacoubi-Loueslati Besma

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Molecular Medicine,Biochemistry,Bioengineering,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s10989-019-09853-z.pdf

Reference40 articles.

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2. Achkar JM, Chan J, Casadevall A (2014) Role of B cells and antibodies in acquired immunity against Mycobacterium tuberculosis. Perspect Med 5(3):e5

3. Baassi L, Sadki K, Seghrouchni F et al (2009) Evaluation of a multi-antigen test based on B-cell epitope peptides for the serodiagnosis of pulmonary tuberculosis. Int J Tuberc Lung Dis 13:848–854

4. Berredo-Pinho M, Kalume DE, Correa PR et al (2011) Proteomic profile of culture filtrate from the Brazilian vaccine strain Mycobacterium bovis BCG Moreau compared to M bovis BCG Pasteur. BMC Microbiol 11:80

5. Chou PY, Fasman GD (1978) Prediction of the secondary structure of proteins from their amino acid sequence. Adv Enzymol Relat Areas Mol Biol 47:145–148

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