Literature DB >> 29982427

Vaccine and antibody production in plants: developments and computational tools.

Kashyap Kumar Dubey1,2, Garry A Luke3, Caroline Knox4, Punit Kumar2, Brett I Pletschke4, Puneet Kumar Singh5, Pratyoosh Shukla5.   

Abstract

Plants as bioreactors have been widely used to express efficient vaccine antigens against viral, bacterial and protozoan infections. To date, many different plant-based expression systems have been analyzed, with a growing preference for transient expression systems. Antibody expression in diverse plant species for therapeutic applications is well known, and this review provides an overview of various aspects of plant-based biopharmaceutical production. Here, we highlight conventional and gene expression technologies in plants along with some illustrative examples. In addition, the portfolio of products that are being produced and how they relate to the success of this field are discussed. Stable and transient gene expression in plants, agrofiltration and virus infection vectors are also reviewed. Further, the present report draws attention to antibody epitope prediction using computational tools, one of the crucial steps of vaccine design. Finally, regulatory issues, biosafety and public perception of this technology are also discussed.

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Year:  2018        PMID: 29982427     DOI: 10.1093/bfgp/ely020

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  9 in total

Review 1.  Recent Developments in Bioprocessing of Recombinant Proteins: Expression Hosts and Process Development.

Authors:  Nagesh K Tripathi; Ambuj Shrivastava
Journal:  Front Bioeng Biotechnol       Date:  2019-12-20

2.  Computational tools for modern vaccine development.

Authors:  Andaleeb Sajid; Yogendra Singh; Pratyoosh Shukla
Journal:  Hum Vaccin Immunother       Date:  2019-12-18       Impact factor: 3.452

3.  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

4.  Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein-Barr virus (EBV).

Authors:  Arif Ali; Abbas Khan; Aman Chandra Kaushik; Yanjie Wang; Syed Shujait Ali; Muhammad Junaid; Shoaib Saleem; William C S Cho; Xueying Mao; Dong-Qing Wei
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

5.  A Broad and Potent H1-Specific Human Monoclonal Antibody Produced in Plants Prevents Influenza Virus Infection and Transmission in Guinea Pigs.

Authors:  Jun-Gyu Park; Chengjin Ye; Michael S Piepenbrink; Aitor Nogales; Haifeng Wang; Michael Shuen; Ashley J Meyers; Luis Martinez-Sobrido; James J Kobie
Journal:  Viruses       Date:  2020-02-02       Impact factor: 5.048

6.  Rational design of multi epitope-based subunit vaccine by exploring MERS-COV proteome: Reverse vaccinology and molecular docking approach.

Authors:  Usman Ali Ashfaq; Saman Saleem; Muhammad Shareef Masoud; Matloob Ahmad; Nazia Nahid; Rashid Bhatti; Ahmad Almatroudi; Mohsin Khurshid
Journal:  PLoS One       Date:  2021-02-03       Impact factor: 3.240

7.  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

Review 8.  Systems Biology Approaches for Therapeutics Development Against COVID-19.

Authors:  Shweta Jaiswal; Mohit Kumar; Yogendra Singh; Pratyoosh Shukla
Journal:  Front Cell Infect Microbiol       Date:  2020-10-28       Impact factor: 5.293

9.  Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.

Authors:  Fisayo A Olotu; Mahmoud E S Soliman
Journal:  Biomed J       Date:  2021-06-19       Impact factor: 4.910

  9 in total

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