Mohammadi, Shiva and Fallahi, Shirzad and Shakarami, Amir and Kavousipour, Soudabeh and Barazesh, Mahdi (2021) In silico evaluation of various signal peptides to improve secretion of humulin protein in E. coli host. Current Proteomics.
Full text not available from this repository.Abstract
Abstract Background: Escherichia coli host has been the workhorse for the production of heterol-ogous proteins due to simplicity of use, low cost, availability of various expression vectors, and a plethora of knowledge on its genetic characteristics, but without a suitable signal sequence, this host cannot be used for the production of secretory proteins. Humulin is a form of insulin used to treat hyperglycemia caused by types 1 and 2 diabetes. To improve expression and make a straight-forward production of Humulin protein, we chose a series of signal peptides. Objective: The aim of this study was to predict the most excellent signal peptides to express secre-tory Humulin in E. coli organism. Methods: Therefore, to forecast the most excellent signal peptides for expression of Humulin in Escherichia coli, 47 signal sequences from bacteria organisms were elected and the most impera-tive elements of them were studied. Hence, signal peptide probability along with physicochemical features was evaluated by signal 4.1, and Portparam, PROSO II servers respectively. Later, the in--silico cloning in a known pET28a plasmid system also estimated the possibility of best signal pep-tide+Humulin expression in E. coli. Results: The outcomes demonstrated that among 47 signal peptides only 2 signal peptides can be considered as suitable signal peptides. Conclusion: Ultimately protein yebF precursor (YEBF_ECOLI) and protein yebF precursor (YEBF_YERP3) were suggested as the most excellent signal peptides to express Humulin (With D scores 0.812 and 0.623, respectively). Although verification of these results warrants experimental analysis. © 2021 Bentham Science Publishers
| Item Type: | Article |
|---|---|
| Subjects: | R Medicine > R Medicine (General) |
| Divisions: | Faculty of Medicine, Health and Life Sciences > School of Medicine |
| Depositing User: | samira sepahvandy |
| Date Deposited: | 23 Oct 2021 06:59 |
| Last Modified: | 23 Oct 2021 06:59 |
| URI: | http://eprints.lums.ac.ir/id/eprint/3020 |
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