Literature DB >> 30558486

In silico mutagenesis: decreasing the immunogenicity of botulinum toxin type A.

Stanley Evander Emeltan Tjoa1, Yoanes Maria Vianney1, Sulistyo Emantoko Dwi Putra1.   

Abstract

Botulinum toxin serotype A is a prominent therapeutic enzyme, for both clinical and cosmetic uses. Since this protein is produced by bacteria, it exhibits an allergenic effect when subjected to human therapy. Protein mutagenesis is one method to improve the characteristics of protein. However, in silico study is needed to give suggestion of which amino acid should be mutated. Hence, a lot of money and time can be saved. This study initially screened which residue of the Botulinum toxin serotype A is B-cell epitopes both linearly and conformationally. By overlapping the B-cell epitopes with the excluded conserve sequence, seven residues were allowed to be mutated. There were two proposed muteins showing a reduction in the antigenicity probability: ΔE147, E510F, T1062F, ΔE1080, N1089M and ΔQ1090; and ΔE147, E510F, T1062F, E1080W, N1089M and ΔQ1090. Molecular dynamics simulation of the 3D proposed muteins indicated an increase of flexibility in both muteins compared to that in the native protein. Both muteins have lower antigenicity. In addition, they are similar in structure, stability and functionality compared to the native protein.

Entities:  

Keywords:  mutagenesis; B-cell epitopes prediction; Bioinformatics; botulinum toxin type A; immunogenicity

Year:  2019        PMID: 30558486     DOI: 10.1080/07391102.2018.1559100

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

1.  In silico and in vitro analysis of arginine deiminase from Pseudomonas furukawaii as a potential anticancer enzyme.

Authors:  Rakhi Dhankhar; Anubhuti Kawatra; Vatika Gupta; Aparajita Mohanty; Pooja Gulati
Journal:  3 Biotech       Date:  2022-08-12       Impact factor: 2.893

2.  Engineering of Cytolethal Distending Toxin B by Its Reducing Immunogenicity and Maintaining Stability as a New Drug Candidate for Tumor Therapy; an In Silico Study.

Authors:  Maryam Keshtvarz; Mahdieh Mahboobi; Marek Kieliszek; Antoni Miecznikowski; Hamid Sedighian; Milad Rezaei; Mohammad Ali Haghighi; Zahra Zareh; Ehsan Rezaei
Journal:  Toxins (Basel)       Date:  2021-11-05       Impact factor: 4.546

  2 in total

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