Literature DB >> 32120301

Designing a potent L1 protein-based HPV peptide vaccine: A bioinformatics approach.

Zahra Yazdani1, Alireza Rafiei2, Reza Valadan3, Hossein Ashrafi4, MarziehSharifi Pasandi3, Mostafa Kardan1.   

Abstract

BACKGROUND: Oncogenic human papilloma viruses (HPV) are the cause of various types of cancer, specifically cervical cancer. L1 protein is the main protein of HPV capsid which targeted in many vaccine-producing attempts. However, they have not enough coverage on the various high risk HPV types. Therefore, having a low cost potent HPV vaccine to protect against all members of the α-papillomaviridea family will be promising. In this study, L1 protein-based peptide vaccine was designed using immunoinformatics methods which provides physicochemical properties such as stability in room temperature, potential of antigenicity, non-allergic properties and no requirement with eukaryotic host system.
RESULTS: The designed vaccine has two HPV conserved epitopes with lengths 18 and 27 amino acids in all members of α-papillomaviridea. These peptides promote humoral and cellular immunity and INF-γ responses. In order to ensure strong induction of immune responses, Flagellin, a Toll like receptor 5(TLR-5) agonist, and a short synthetic toll like receptor 4 (TLR-4) agonist were also joined to the epitopes. Structure of the designed- vaccine was validated using Rampage and ERRAT and a high quality 3D structure of the vaccine protein was provided. Docking studies demonstrated an appropriate and stable interaction between the vaccine and TLR-5.
CONCLUSIONS: The vaccine is expected to have a high quality structure and suitable properties including high stability, solubility and a high potential to be expressed in E.coli. High potentiality of the vaccine in inducing humoral and cellular immune responses, may be considered as an anti-tumor vaccine.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adjuvant; Conserved epitopes; HPV; Immunoinformatics; In silico cloning; Tertiary structure analysis; Vaccine

Mesh:

Substances:

Year:  2020        PMID: 32120301     DOI: 10.1016/j.compbiolchem.2020.107209

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  6 in total

1.  Design, construction and in vivo functional assessment of a hinge truncated sFLT01.

Authors:  Fahimeh Zakeri; Hamid Latifi-Navid; Zahra-Soheila Soheili; Mehdi Sadeghi; Seyed Shahriar Arab; Shahram Samiei; Ehsan Ranaei Pirmardan; Sepideh Taghizadeh; Hamid Ahmadieh; Ali Hafezi-Moghadam
Journal:  Gene Ther       Date:  2022-09-16       Impact factor: 4.184

2.  Insight Into Novel Anti-tuberculosis Vaccines by Using Immunoinformatics Approaches.

Authors:  Zafran Khan; Daniya Ualiyeva; Obed Boadi Amissah; Sanjeep Sapkota; H M Adnan Hameed; Tianyu Zhang
Journal:  Front Microbiol       Date:  2022-06-02       Impact factor: 6.064

3.  Design an Efficient Multi-Epitope Peptide Vaccine Candidate Against SARS-CoV-2: An in silico Analysis.

Authors:  Zahra Yazdani; Alireza Rafiei; Mohammadreza Yazdani; Reza Valadan
Journal:  Infect Drug Resist       Date:  2020-08-25       Impact factor: 4.003

4.  In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology.

Authors:  Shaheen Bibi; Inayat Ullah; Bingdong Zhu; Muhammad Adnan; Romana Liaqat; Wei-Bao Kong; Shiquan Niu
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

5.  Design of a multi-epitope vaccine against the pathogenic fungi Candida tropicalis using an in silico approach.

Authors:  Nahid Akhtar; Arshwinder Singh; Atul Kumar Upadhyay; M Amin-Ul Mannan
Journal:  J Genet Eng Biotechnol       Date:  2022-09-29

6.  In-silico designing of epitope-based vaccine against the seven banded grouper nervous necrosis virus affecting fish species.

Authors:  Amit Joshi; Dinesh Chandra Pathak; M Amin-Ul Mannan; Vikas Kaushik
Journal:  Netw Model Anal Health Inform Bioinform       Date:  2021-05-31
  6 in total

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