Towards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database
Author:
Affiliation:
1. Computational and Evolutionary Biology, Faculty of Life Sciences and 2School of Computer Science, Faculty of Engineering and Physical Sciences, University of Manchester, Manchester, UK
Publisher
Oxford University Press (OUP)
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems
Link
http://academic.oup.com/database/article-pdf/doi/10.1093/database/bas023/16728740/bas023.pdf
Reference36 articles.
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2. Cataloguing the HIV type 1 human protein interaction network;Ptak;AIDS Res. Hum. Retroviruses,2008
3. Global Report: UNAIDS report on the global AIDS epidemic 2010,2010
4. The biological context of HIV-1 host interactions reveals subtle insights into a system hijack;Dickerson;BMC Syst. Biol.,2010
5. Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems;MacPherson;PLoS Comput. Biol.,2010
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