Volume 5, Issue 1 (6-2022)
2022, 5(1): 0-0 |
Back to browse issues page
Ethics code: IR.MEDILAM.REC.1399.334
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Basati G, Shams M, Majidiani H, Asghari A, Nourmohammadi H. Bioinformatics design of a fine-tuned multi-epitope protein for detection of human Toxocara canis infection in human. Journal title 2022; 5 (1)
URL: http://newresearch.medilam.ac.ir/article-1-1245-en.html
URL: http://newresearch.medilam.ac.ir/article-1-1245-en.html
Biotechnology and Medicinal Plants Research Center, Ilam University of Medical sciences, Ilam, Iran
Abstract: (1501 Views)
Serological investigation is the main method to achieve satisfactory results in Toxocara canis diagnosis. The accuracy of the native antigen used in the current diagnostic kits has proven to be insufficient as well as difficult to standardize. Therefore, significant efforts have been made to find alternative reagents as capture antigens. Multi-epitope peptides are potential diagnostic markers to improve the accuracy of diagnostic kits. The main aim of this study is the prediction and design of a novel synthetic protein consisting of multiple immunodominant B cell epitopes. Primary, secondary and tertiary structures of the proteins are analyzed by using several various online software (ExPasy, IEDB, ABCpred, SVMTriP). Then, B cell construct was assessed by machine learning and Physico-chemical approaches and finally, homology modeling of 3D structure of protein is evaluated.
Received: 2020/11/4 | Accepted: 2020/12/30 | Published: 2022/06/19
Send email to the proposal executer
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
