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Letters in Drug Design & Discovery


ISSN (Print): 1570-1808
ISSN (Online): 1875-628X

Research Article

Evaluation of Different Signal Peptides for Secretory Production of Recombinant Human Interferon-gamma: Bioinformatics Approach

Author(s): Niloofar Ghoshoon, Younes Ghasemi, Hoda Jahandar, Mohammad Bagher Ghoshoon* and Navid Nezafat*

Volume 20, Issue 2, 2023

Published on: 10 June, 2022

Page: [181 - 191] Pages: 11

DOI: 10.2174/1570180819666220408135018

Price: $65


Background: The fusion of the secretory signal peptide to the N-terminal of a polypeptide’s amino acid sequence is an attractive technique for the secretory production of heterologous proteins. On the other hand, applying computational analysis may be beneficial in overcoming the barriers of trial-anderror approaches in detecting proper signal sequences.

As the scope of this study, the most probable effective properties of 30 signal sequences for the extracellular production of recombinant human interferon-gamma (rhIFN-γ) were analysed.

Methods: Online available web server, SignalP5.0, was used to predict signal peptides’ probability, most likely translocation pathways, and cleavage site location. The physicochemical features of signal peptides and rhIFN-γ were assessed by the ProtParam tool, and the solubility of protein was predicted by SOLpro.

Results: Finally, 12 high probable signal peptides, including OmpC, PhoE, AnsB, and OmpA, were theoretically detected with ideal solubility probabilities and almost balanced physicochemical properties; hopes to be helpful in future experimental studies for the secretion of rhIFN-γ.

Conclusion: The experimental analysis is required to validate the in silico results and focus on in-lab affecting factors such as cultivation methods and conditions.

Keywords: Signal peptide, human interferon-gamma, bioinformatics, E. coli, OmpC, PhoE, AnsB.

Graphical Abstract
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