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10.1016/j.tibtech.2014.04.007

http://scihub22266oqcxt.onion/10.1016/j.tibtech.2014.04.007
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C4299695!4299695!24857424
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suck abstract from ncbi

pmid24857424      Trends+Biotechnol 2014 ; 32 (7): 356-62
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  • Signaling Hypergraphs #MMPMID24857424
  • Ritz A; Tegge A; Kim H; Poirel CL; Murali TM
  • Trends Biotechnol 2014[Jul]; 32 (7): 356-62 PMID24857424show ga
  • Signaling pathways function as information-passing mechanisms of the cell. A number of extensively manually curated databases maintain the current knowledge-base for signaling pathways, inviting computational approaches for prediction and analysis. Such methods require an accurate and computable representation of signaling pathways. Pathways are often described as sets of proteins or as pairwise interactions between proteins. However, many signaling mechanisms cannot be described using these representations. In this opinion, we highlight an underutilized representation for signaling pathways: the hypergraph. We demonstrate the usefulness of hypergraphs in this context and discuss challenges and opportunities for the scientific community.
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