Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
In Silico Analysis for Determination and Validation of Iron-Regulated Protein From Escherichia Coli Publisher



Sefid F1, 2 ; Alagheband Bahrami A3 ; Darvish M4 ; Nazarpour R5 ; Payandeh Z6
Authors
Show Affiliations
Authors Affiliations
  1. 1. Departeman of Medical Genetics, Shahid Sadoughi University of Medical Science, Yazd, Iran
  2. 2. Departeman of Biology, Science and Art University, Yazd, Iran
  3. 3. Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  4. 4. Departeman of Medical Biotechnology, Faculty of Medicine, Arak University of Medical Science, Arak, Iran
  5. 5. Biotechnology Research Center, Tabriz University of Medical Science, Tabriz, Iran
  6. 6. Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

Source: International Journal of Peptide Research and Therapeutics Published:2019


Abstract

The iron ion is an essential element in biological processes. Many of biological activities in cells, such as peroxide reduction, nucleotide biosynthesis, and electron transport, are helped via iron ions. Extra-intestinal localities have few iron content; so that, during the infection period, the ExPEC strain attempts to pick up iron from the host. The ireA gene is an iron-regulated gene and is involved in iron attainment in human pathogenic E. coli isolates. A better understanding of the essence of ireA as well as its role in serious E. coli infections will help to provide a new and more effective treatment for E. coli infections. Knowledge of the three-dimensional structure of proteins can contribute to the fraction of their function, as well as their interactions with other compounds such as ligands. In addition, rational modification and protein engineering depend on identification of their 3D structures. Thereafter, various bioinformatics tools were employed to predict their immunological, biochemical and functional properties. Our results indicated that this modeled protein form common beta barrel structures. Our immunological, biochemical and functional analysis have led us to select a region of each antigen harboring the highest immunogenic properties. Our strategy to employ 3D structure prediction and epitope prediction results could be deemed as an amenable approach for efficient vaccine design. Our strategy could pave the way for further structural, functional and therapeutic studies in the context of vaccine design investigations. © 2018, Springer Nature B.V.
Other Related Docs
12. Impact of Il28 Genotypes and Modeling the Interactions of Hcv Core Protein on Treatment of Hepatitis C, Interdisciplinary Sciences – Computational Life Sciences (2020)
18. Bevacizumab Antibody Affinity Maturation to Improve Ovarian Cancer Immunotherapy: In Silico Approach, International Journal of Peptide Research and Therapeutics (2019)
23. Designing a Chimeric Vaccine Against Colorectal Cancer, International Journal of Cancer Management (2017)
34. Computer-Assisted Multi-Epitopes T-Cell Subunit Covid-19 Vaccine Design, Biomedical and Biotechnology Research Journal (2021)