Automated recommendation of the seasonal influenza vaccine strain with PREDAC
Vaccination is currently the most effective way to protect against influenza viruses. This study presents PREDAC (PREDict Antigenic Cluster), a sequence-based computational method to model antigenic clusters of influenza viruses. PREDAC could improve vaccine recommendations for influenza viruses and...
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Format: | Article |
Language: | English |
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Elsevier
2020-09-01
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Series: | Biosafety and Health |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590053620300434 |
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author | Yousong Peng Aiping Wu Jing Meng Lei Yang Dayan Wang Yuelong Shu Taijiao Jiang |
author_facet | Yousong Peng Aiping Wu Jing Meng Lei Yang Dayan Wang Yuelong Shu Taijiao Jiang |
author_sort | Yousong Peng |
collection | DOAJ |
description | Vaccination is currently the most effective way to protect against influenza viruses. This study presents PREDAC (PREDict Antigenic Cluster), a sequence-based computational method to model antigenic clusters of influenza viruses. PREDAC could improve vaccine recommendations for influenza viruses and has been used to support the influenza vaccine strain recommendations at the Chinese National Influenza Center. Moreover, a PREDAC server which includes tools for the prediction of antigenic variants and antigenic clusters of both influenza A and B viruses was built and made publicly available at http://www.computationalbiology.cn/home/. PREDAC could not only facilitate systematic studies of the antigenic evolution of influenza viruses but also provide user-friendly tools for vaccine strain recommendations for influenza viruses. |
first_indexed | 2024-12-11T06:36:47Z |
format | Article |
id | doaj.art-7f47763932a14db8aebc6062aa80f066 |
institution | Directory Open Access Journal |
issn | 2590-0536 |
language | English |
last_indexed | 2024-12-11T06:36:47Z |
publishDate | 2020-09-01 |
publisher | Elsevier |
record_format | Article |
series | Biosafety and Health |
spelling | doaj.art-7f47763932a14db8aebc6062aa80f0662022-12-22T01:17:20ZengElsevierBiosafety and Health2590-05362020-09-0123117119Automated recommendation of the seasonal influenza vaccine strain with PREDACYousong Peng0Aiping Wu1Jing Meng2Lei Yang3Dayan Wang4Yuelong Shu5Taijiao Jiang6Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China; Suzhou Institute of Systems Medicine, Suzhou 215123, ChinaCenter for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou 215123, ChinaCenter for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou 215123, ChinaNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, ChinaNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China; Corresponding author: National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China.School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510275, China; Corresponding author: School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510275, China.Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou 215123, China; Corresponding author: Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.Vaccination is currently the most effective way to protect against influenza viruses. This study presents PREDAC (PREDict Antigenic Cluster), a sequence-based computational method to model antigenic clusters of influenza viruses. PREDAC could improve vaccine recommendations for influenza viruses and has been used to support the influenza vaccine strain recommendations at the Chinese National Influenza Center. Moreover, a PREDAC server which includes tools for the prediction of antigenic variants and antigenic clusters of both influenza A and B viruses was built and made publicly available at http://www.computationalbiology.cn/home/. PREDAC could not only facilitate systematic studies of the antigenic evolution of influenza viruses but also provide user-friendly tools for vaccine strain recommendations for influenza viruses.http://www.sciencedirect.com/science/article/pii/S2590053620300434InfluenzaVaccine recommendationBioinformaticsAntigenic variationWeb server |
spellingShingle | Yousong Peng Aiping Wu Jing Meng Lei Yang Dayan Wang Yuelong Shu Taijiao Jiang Automated recommendation of the seasonal influenza vaccine strain with PREDAC Biosafety and Health Influenza Vaccine recommendation Bioinformatics Antigenic variation Web server |
title | Automated recommendation of the seasonal influenza vaccine strain with PREDAC |
title_full | Automated recommendation of the seasonal influenza vaccine strain with PREDAC |
title_fullStr | Automated recommendation of the seasonal influenza vaccine strain with PREDAC |
title_full_unstemmed | Automated recommendation of the seasonal influenza vaccine strain with PREDAC |
title_short | Automated recommendation of the seasonal influenza vaccine strain with PREDAC |
title_sort | automated recommendation of the seasonal influenza vaccine strain with predac |
topic | Influenza Vaccine recommendation Bioinformatics Antigenic variation Web server |
url | http://www.sciencedirect.com/science/article/pii/S2590053620300434 |
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