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MHC binding peptides for designing of vaccines against Japanese encephalitis virus : a computational approach
المؤلفون المشاركون
Sayyid, Uthman
Wadhwa, Gulshan
Jamal, Qazi Muhd. Sajid
Salman, Akhtar
Sadiqui, Muhammad Haris
Kamal, Muhammad A.
Khan, M. Salman
المصدر
Saudi Journal of Biological Sciences
العدد
المجلد 25، العدد 8 (31 ديسمبر/كانون الأول 2018)، ص ص. 1546-1551، 6ص.
الناشر
تاريخ النشر
2018-12-31
دولة النشر
السعودية
عدد الصفحات
6
التخصصات الرئيسية
الموضوعات
الملخص EN
Japanese encephalitis (JE), a viral disease has seen a drastic and fatal enlargement in the northern states of India in the current decade.
The better and exact cure for the disease is still in waiting.
For the cause an in silico strategy in the development of the peptide vaccine has been taken here for the study.
A computational approach to find out the Major Histocompatibility Complex (MHC) binding peptide has been implemented.
The prediction analysis identifiedMHCclass I (using propred I) and MHC class II (using propred) binding peptides at an expectable percent predicted IC (50) threshold values.
These predicted Human leukocyte antigen [HLA] allele binding peptides were further analyzed for potential conserved region using an Immune Epitope Database and Analysis Resource (IEDB).
This analysis shows that HLA-DRB1*0101, HLA-DRB3*0101, HLA-DRB1* 0401, HLA-DRB1*0102 and HLA-DRB1*07:01% of class II (in genotype 2) and HLA-A*0101, HLA-A*02, HLA-A*0301, HLA-A*2402, HLA-B*0702 and HLA-B*4402% of HLA I (in genotype 3) bound peptides are conserved.
The predicted peptidesMHC class I are ILDSNGDIIGLY, FVMDEAHFTDPA, KTRKILPQIIK, RLMSPNRVPNYNLF, APTRVVAAEMAEAL, YENVFHTLW and MHC class II molecule are TTGVYRIMARGILGT, NYNLFVMDEAHFTDP, AAAIFMTATPPGTTD, GDTTTGVYRIMARGI and FGEVGAVSL found to be top ranking with potential super antigenic property by binding to all HLA.
Out of these the predicted peptide FVMDEAHFTDPA for allele HLA-A*02:01 inMHCclass I and NYNLFVMDEAHFTDP for allele HLA-DRB3*01:01 inMHCclass II was observed to be most potent and can be further proposed as a significant vaccine in the process.
The reported results revealed that the immune-informatics techniques implemented in the development of small size peptide is useful in the development of vaccines against the Japanese encephalitis virus (JEV).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sayyid, Uthman& Wadhwa, Gulshan& Jamal, Qazi Muhd. Sajid& Kamal, Muhammad A.& Salman, Akhtar& Sadiqui, Muhammad Haris…[et al.]. 2018. MHC binding peptides for designing of vaccines against Japanese encephalitis virus : a computational approach. Saudi Journal of Biological Sciences،Vol. 25, no. 8, pp.1546-1551.
https://search.emarefa.net/detail/BIM-832844
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sayyid, Uthman…[et al.]. MHC binding peptides for designing of vaccines against Japanese encephalitis virus : a computational approach. Saudi Journal of Biological Sciences Vol. 25, no. 8 (Dec. 2018), pp.1546-1551.
https://search.emarefa.net/detail/BIM-832844
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sayyid, Uthman& Wadhwa, Gulshan& Jamal, Qazi Muhd. Sajid& Kamal, Muhammad A.& Salman, Akhtar& Sadiqui, Muhammad Haris…[et al.]. MHC binding peptides for designing of vaccines against Japanese encephalitis virus : a computational approach. Saudi Journal of Biological Sciences. 2018. Vol. 25, no. 8, pp.1546-1551.
https://search.emarefa.net/detail/BIM-832844
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 1551
رقم السجل
BIM-832844
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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