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Finding appropriate signal peptides for secretory production of recombinant glucarpidase: an in silico method

Author(s):

Omid Vakili, Seyyed Hossein Khatami, Amir Maleksabet, Ahmad Movahedpour, Saeed Ebrahimi Fana, Rasoul Sadegh, Amir Hossein Salmanzadeh, Hadi Razeghifam, Sajjad Nourdideh, Sadra Samavarchi Tehrani* and Mortaza Taheri-Anganeh*  

Abstract:


Aims: Bioinformatics analysis of suitable signal peptide for recombinant glucarpidase.

Background: Methotrexate (MTX) is a general chemotherapeutic agent utilized to treat a variety of malignancies., woefully, its high doses can cause nephrotoxicity and subsequent defect in the process of MTX excretion. The recombinant form of glucarpidase, is produced by engineered E. coli and is a confirmed choice to overcoming this problem.

Objective: In the present study, in silico analyses were performed to select suitable SPs for the secretion of recombinant glucarpidase in E. coli.

Methods: The signal peptide website and UniProt database were employed to collect the SPs and protein sequences. In the next step, SignalP-5.0 helped us to predict the SPs and the position of cleavage sites. Moreover, physicochemical properties and solubility were evaluated using ProtParam and Protein-sol online software, and finally, ProtCompB was used to predict the final sub-cellular localization.

Results: Luckily, all SPs could form soluble fusion proteins. At last, it was found that PPB and TIBA could translocate the glucarpidase into the extracellular compartment.

Conclusion: This study showed that there are only 2 applicable SPs for the extracellular translocation of glucarpidase. Although the findings were remarkable with high degrees of accuracy and precision based on the utilization of bioinformatics analyses, additional experimental assessments are required to confirm and validate it. Recent patents revealed several inventions related to the clinical aspects of vaccine peptide against human disorders.

Keywords:

Methotrexate, Recombinant protein, Biopharmaceuticals, Glucarpidase, Bioinformatics, malignancies

Affiliation:

Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Science, Tehran., Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Mazandaran University of Medical Sciences, Sari, Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Shahid Arefian Hospital, Urmia, Shahid Arefian Hospital, Urmia, Shahid Arefian Hospital, Urmia, Shahid Arefian Hospital, Urmia, Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz



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