In silico CD4 + T-cell multiepitope prediction and HLA distribution analysis for Marburg Virus—A strategy for vaccine designing

Author:

Dhasmana Anupam,Dhasmana Swati,Alsulimani Ahmad,Kotnala Sudhir,Kashyap Vivek Kumar,Haque Shafiul,Jaggi Meena,Yallapu Murali M.,Chauhan Subhash C.

Funder

University of Texas Rio Grande Valley

National Institutes of Health

National Cancer Institute

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference33 articles.

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2. A Poly(Lactic-co-Glycolic) Acid Nanovaccine Based on Chimeric Peptides from Different Leishmania infantum Proteins Induces Dendritic Cells Maturation and Promotes Peptide-Specific IFNγ-Producing CD8+ T Cells Essential for the Protection against Experimental Visceral Leishmaniasis

3. Bano, T., Mohammed Janahi, E., Dhasmana, A., Lohani, M., Haque, S., R, K.M., S, A.D., Jawed, A., Wahid, M., Akhter, N., and M, Y.A. (2018). In silico CD4+, CD8+ & humoral immunity associated antigenic epitope prediction and HLA distribution analysis of HTLV-I. J. Buon 23, 1514-1527.

4. Disease modeling for Ebola and Marburg viruses;Bente;Dis. Model. Mech.,2009

5. Predicting population coverage of T-cell epitope-based diagnostics and vaccines;Bui;BMC Bioinf.,2006

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