Prediction of Epitope Based Vaccine Candidates against Macaca fascicularis PV Type 2 Virus Using In-silico Approaches
Last updated: 03 Jan 2025
10.21608/eajbsc.2018.13655
Papillomavirus, epitope, antigenicity prediction, physicochemical characterization, population coverage analysis
Mohammed
Areeshi
Yahya
Research and Scientific Studies Unit, College of Nursing, Jazan University, Jazan - 45142, Saudi Arabia
marishi@jazanu.edu.sa
null
10
1
2625
2018-06-01
2018-09-15
2018-06-01
49
57
2090-0767
2090-083X
https://eajbsc.journals.ekb.eg/article_13655.html
https://eajbsc.journals.ekb.eg/service?article_code=13655
5
Original Article
673
Journal
Egyptian Academic Journal of Biological Sciences. C, Physiology and Molecular Biology
https://eajbsc.journals.ekb.eg/
Prediction of Epitope Based Vaccine Candidates against Macaca fascicularis PV Type 2 Virus Using In-silico Approaches
Details
Type
Article
Created At
22 Jan 2023