Extensive immunoinformatics study for the prediction of novel peptide-based epitope vaccine with docking confirmation against envelope protein of Chikungunya virus: a computational biology approach-Reference-Cited by-同舟云学术

Extensive immunoinformatics study for the prediction of novel peptide-based epitope vaccine with docking confirmation against envelope protein of Chikungunya virus: a computational biology approach

Published:2020-02-24 Issue:4 Volume:39 Page:1139-1154
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Bappy Syed Shahariar¹,Sultana Sorna¹,Adhikari Juthi¹,Mahmud Shafi²^ORCID,Khan Md. Arif³⁴,Kibria K. M. Kaderi¹,Rahman Md. Masuder¹,Shibly Abu Zaffar¹

Affiliation:

1. Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh

2. Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh

3. Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka, Bangladesh

4. Bio-Bio-1 Research Foundation, Sangskriti Bikash Kendra Bhaban, Dhaka, Bangladesh

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2020.1726815

Reference90 articles.

1. UniProt: the Universal Protein knowledgebase

2. Immunoinformatics approaches for designing a novel multi epitope peptide vaccine against human norovirus (Norwalk virus)

3. The Protein Data Bank

4. Supervised identification of allergen-representative peptides for in silico detection of potentially allergenic proteins

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