Literature DB >> 32347457

Identification and Design of a Next-Generation Multi Epitopes Bases Peptide Vaccine Candidate Against Prostate Cancer: An In Silico Approach.

Prasanta Patra1, Manojit Bhattacharya1,2, Ashish Ranjan Sharma2, Pratik Ghosh1, Garima Sharma3, Bidhan Chandra Patra1, Bidyut Mallick4, Sang-Soo Lee5, Chiranjib Chakraborty6,7.   

Abstract

Prostate cancer (PCa) is the second most diagnosed cancer in men and ranked fifth in overall cancer diagnosis. During the past decades, it has arisen as a significant life-threatening disease in men at an older age. At the early onset of illness when it is in localized form, radiation and surgical treatments are applied against this disease. In case of adverse situations androgen deprivation therapy, chemotherapy, hormonal therapy, etc. are widely used as a therapeutic element. However, studies found the occurrences of several side effects after applying these therapies. In current work, several immunoinformatic techniques were applied to formulate a multi-epitopic vaccine from the overexpressed antigenic proteins of PCa. A total of 13 epitopes were identified from the five prostatic antigenic proteins (PSA, PSMA, PSCA, STEAP, and PAP), after validation with several in silico tools. These epitopes were fused to form a vaccine element by (GGGGS)3 peptide linker. Afterward, 5, 6-dimethylxanthenone-4-acetic acid (DMXAA) was used as an adjuvant to initiate and induce STING-mediated cytotoxic cascade. In addition, molecular docking was performed between the vaccine element and HLA class I antigen with the low ACE value of -251 kcal/mol which showed a significant binding. Molecular simulation using normal mode analysis (NMA) illustrated the docking complex as a stable one. Therefore, this observation strongly indicated that our multi epitopes bases peptide vaccine molecule will be an effective candidate for the treatment of the PCa.

Entities:  

Keywords:  Adjuvant; Antigens; Epitope; Immunoinformatics; Prostate cancer; Vaccine

Mesh:

Substances:

Year:  2020        PMID: 32347457     DOI: 10.1007/s12013-020-00912-7

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  4 in total

1.  In-Silico Vaccine Design Based on a Novel Vaccine Candidate Against Infections Caused by Acinetobacter baumannii.

Authors:  Kashaf Khalid; Sidra Irum; Sidra Rahmat Ullah; Saadia Andleeb
Journal:  Int J Pept Res Ther       Date:  2021-12-02       Impact factor: 1.931

Review 2.  Predicting epitopes for vaccine development using bioinformatics tools.

Authors:  Valentina Yurina; Oktavia Rahayu Adianingsih
Journal:  Ther Adv Vaccines Immunother       Date:  2022-05-21

3.  A Novel Multi-Epitopic Peptide Vaccine Candidate Against Helicobacter pylori: In-Silico Identification, Design, Cloning and Validation Through Molecular Dynamics.

Authors:  Pratik Ghosh; Swarnav Bhakta; Manojit Bhattacharya; Ashish Ranjan Sharma; Garima Sharma; Sang-Soo Lee; Chiranjib Chakraborty
Journal:  Int J Pept Res Ther       Date:  2021-01-20       Impact factor: 1.931

4.  Evaluation and Designing of Epitopic-Peptide Vaccine Against Bunyamwera orthobunyavirus Using M-Polyprotein Target Sequences.

Authors:  Pratik Ghosh; Manojit Bhattacharya; Prasanta Patra; Garima Sharma; Bidhan Chandra Patra; Sang-Soo Lee; Ashish Ranjan Sharma; Chiranjib Chakraborty
Journal:  Int J Pept Res Ther       Date:  2021-11-29       Impact factor: 1.931

  4 in total

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