Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/62871
Title: Deriving protein-protein interactions of dengue from literature based on pattern mining methods
Authors: Zhang, Xingjia
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems
Issue Date: 2015
Abstract: Dengue fever is a disease widespread through tropical areas. It is caused by the Dengue virus and is transmitted by Aedes, a kind of mosquito. The World Health Organization reports that number of global incidents of dengue has grown rapidly over the past decades. However, while progress has been made in development of vaccines for Dengue, there is no specific treatment or vaccine for dengue available at the moment. It is believed that building an interaction network among proteins of the dengue virus and human proteins would aid the development of vaccines and dengue specific treatment. However, to the author’s knowledge, there is no dengue specific protein interaction information in existing medical databases. Hence, this project looks into building a protein interaction network by utilizing pattern-based interaction extraction method. To reach this end, the following steps were taken. First, abstracts were downloaded from the Medline database with query ‘dengue’. These abstracts were filtered and ranked by their relevance to protein interactions. Protein mentions are extracted. Next, 1000 sentences were selected and annotated. From these sentences, patterns indicating protein interactions were extracted; they were then applied to other sentences to find protein interactions. 360 binary interactions were found. Lastly, a protein interaction network was drawn.
URI: http://hdl.handle.net/10356/62871
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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