id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_s2x6fjbeyvbsvnhwqctlx4ajde	James P. McCusker	Finding melanoma drugs through a probabilistic knowledge graph	2017	20	.pdf	application/pdf	9041	1066	55	Using drug, protein and disease interactions, we built an evidence-weighted Keywords Melanoma, Knowledge graphs, Drug repositioning, Uncertainty reasoning other biological entities, like drugs and diseases, interact with the systems biology drugs, 3,820 diseases, 69,279 proteins, and 899,198 interactions. We examined drug and gene connections that were three or less interaction steps from melanoma, and additionally filtered interactions with a joint probability greater or Figure 2 The interaction graph of predicted melanoma drugs with a probability of 0.93 or higher A number of the drugs we identified are in clinical trials for treatment of melanoma. drug and the disease, and "Joint p" is the joint probability that all of those interactions occur. The graphical web application enables users to initiate a search using drug, gene, and Finding melanoma drugs through a probabilistic knowledge graph Finding melanoma drugs through a probabilistic knowledge graph Finding melanoma drugs through a probabilistic knowledge graph	./cache/work_s2x6fjbeyvbsvnhwqctlx4ajde.pdf	./txt/work_s2x6fjbeyvbsvnhwqctlx4ajde.txt