کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4752612 1416278 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research ArticleIn silico identification of vaccine candidates against Klebsiella oxytoca
ترجمه فارسی عنوان
شناسایی سیلیکا کاندیدای واکسن علیه کلبسیلا اکسیتوکا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی


- Potential vaccine candidates against Klebsiella Oxytoca have been identified.
- A Reverse Vaccinology approach has been adopted.
- By using extensive computational tools the problems of conventional Vaccine production has been reduced.

Klebsiella oxytoca causes several diseases in immunocompromised as well as healthy individuals. Increasing resistance to a number of antibiotics makes treatment options limited. Prevention using vaccine could be an important solution to get rid of infections caused by Klebsiella oxytoca. In recent time, genome based approaches have contributed significantly in vaccine development. Our aim was to identify the most conserved and immunogenic antigens that can be considered as potential vaccine candidates. KEGG database was used to find out pathways unique to the bacteria. Subcellular localization of the protein sequences taken from the selected 36 pathways were predicted using PSORTb v3.0.2 and CELLO v2.5. Prediction of B cell epitope and the probability of the antigenicity were evaluated by using IEDB and Vaxijen respectively. BLASTp was done to find out the similarity of the selected proteins with the human proteome. Proteins failing to comply with the set parameters were filtered at each step. Finally, we identified 6 surface exposed proteins as potential vaccine candidates against Klebsiella oxytoca.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Biology and Chemistry - Volume 69, August 2017, Pages 48-54
نویسندگان
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