Elsevier professional services constructed the most comprehensive knowledgebase for network and pathway analysis of Plasmodium genome using deep reading NLP technology from thousands scientific publications about Plasmodium parasite. The database allows pathway reconstruction by data-mining human-parasite protein interactions, network enrichment analysis of OMICs data-sets, search for compounds modulating human immune response to parasite or inhibiting Plasmodium proteins. This slide presentation shows some of key features and statistics for this database.

1. Data Mining
Experimental
Analysis
Pathway
Visualization
• future
Construction of Plasmodium database for
Pathway Studio
13,352 full-text articles =
10,221 from Pubmed Central
+ 3,230 from Elsevier
36,614 PubMed
abstracts

2. Plasmodium proteins regulating different human cell types
(Most connected 6 out of 198 Cell Types shown)
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3. Plasmodium proteins regulating different immune processes
(Most connected 4 out of 696 Cell Processes shown)
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Link to original publication

4. Plasmodium proteins regulating different clinical parameters
(Most connected 10 out of 253 parameters shown)
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