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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ovchinnikov, Roman S. Ranjbar, Mohammad Mehdi Farhadi, Tayebeh |
| Copyright Year | 2016 |
| Abstract | Infectious diseases are an important cause of fatality worldwide and administration of vaccines could provide long-lasting protection against responsible infection. Incorporating of adjuvants to vaccine formulations can enhance the effectiveness of antigens. This study proposes an in silico approach for designing of some flagellin derivatives as adjuvant candidates and investigation of their interaction with toll-like receptor 5 (TLR5). Docking analysis showed that the flagellin derivative from Escherichia coli (named Adj2) possesses the best interaction tendency with the TLR5. The Adj2 was inserted to N terminal of a previously designed antigen against Salmonella enterica (named SAL) to construct a fusion protein. Docking analysis showed that the binding to TLR5 occurs on the Adj2 domain of the fusion protein, which completely lacks SAL domain. It proposes that the SAL domain may be prospective for eliciting appropriate immune responses. Besides, according to the total free energy, the fusion protein reveals the mutual affinity to TLR5. Overall, successful in silico modeling was demonstrated to be a hopeful strategy for designing robust vaccine adjuvants targeting TLR5. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | |
| ISSN | 21926662 |
| Journal | Network Modeling Analysis in Health Informatics and Bioinformatics |
| Volume Number | 5 |
| Issue Number | 1 |
| e-ISSN | 21926670 |
| Language | English |
| Publisher | Springer Vienna |
| Publisher Date | 2016-10-13 |
| Publisher Place | Vienna |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Infection Computational Biology/Bioinformatics Adjuvant designing Health Informatics Flagellin derivative Bioinformatics Applications of Graph Theory and Complex Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Urology |
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