Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84227
Title: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses
Authors: Zhou, Xinrui
Zheng, Jie
Ivan, Fransiskus Xaverius
Yin, Rui
Ranganathan, Shoba
Chow, Vincent T. K.
Kwoh, Chee-Keong
Keywords: Influenza A/H7N9
Host Specificity
Issue Date: 2018
Source: 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-.
Series/Report no.: BMC Genomics
Abstract: 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.
URI: https://hdl.handle.net/10356/84227
http://hdl.handle.net/10220/45111
DOI: 10.1186/s12864-018-4461-z
DOI (Related Dataset): https://doi.org/10.21979/N9/TQEOP6
Rights: © 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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