Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses
Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013, and raised more grave concerns with its increased potential to spread among humans. Experimental studies have revealed several host and vi...
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sg-ntu-dr.10356-842272021-01-18T04:50:20Z Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses Zhou, Xinrui Zheng, Jie Ivan, Fransiskus Xaverius Yin, Rui Ranganathan, Shoba Chow, Vincent T. K. Kwoh, Chee-Keong School of Computer Science and Engineering Influenza A/H7N9 Host Specificity Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013, and raised more grave concerns with its increased potential to spread among humans. Experimental studies have revealed several host and virulence markers, indicating differential host binding preferences which can help estimate the potential of causing a pandemic. Here we systematically investigate the sequence pattern and structural characteristics of novel influenza A/H7N9 using computational approaches. MOE (Min. of Education, S’pore) Published version 2018-07-18T08:43:26Z 2019-12-06T15:40:56Z 2018-07-18T08:43:26Z 2019-12-06T15:40:56Z 2018 Journal Article Zhou, X., Zheng, J., Ivan, F. X., Yin, R., Ranganathan, S., Chow, V. T. K., et al. (2018). Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. BMC Genomics, 19(S2), 88-. https://hdl.handle.net/10356/84227 http://hdl.handle.net/10220/45111 10.1186/s12864-018-4461-z en BMC Genomics https://doi.org/10.21979/N9/TQEOP6 © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated 10 p. application/pdf |
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Influenza A/H7N9 Host Specificity |
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Influenza A/H7N9 Host Specificity Zhou, Xinrui Zheng, Jie Ivan, Fransiskus Xaverius Yin, Rui Ranganathan, Shoba Chow, Vincent T. K. Kwoh, Chee-Keong Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
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Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013, and raised more grave concerns with its increased potential to spread among humans. Experimental studies have revealed several host and virulence markers, indicating differential host binding preferences which can help estimate the potential of causing a pandemic. Here we systematically investigate the sequence pattern and structural characteristics of novel influenza A/H7N9 using computational approaches. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Zhou, Xinrui Zheng, Jie Ivan, Fransiskus Xaverius Yin, Rui Ranganathan, Shoba Chow, Vincent T. K. Kwoh, Chee-Keong |
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Article |
author |
Zhou, Xinrui Zheng, Jie Ivan, Fransiskus Xaverius Yin, Rui Ranganathan, Shoba Chow, Vincent T. K. Kwoh, Chee-Keong |
author_sort |
Zhou, Xinrui |
title |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
title_short |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
title_full |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
title_fullStr |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
title_full_unstemmed |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses |
title_sort |
computational analysis of the receptor binding specificity of novel influenza a/h7n9 viruses |
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2018 |
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https://hdl.handle.net/10356/84227 http://hdl.handle.net/10220/45111 https://doi.org/10.21979/N9/TQEOP6 |
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