Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.tibtech.2014.04.007 http://scihub22266oqcxt.onion/10.1016/j.tibtech.2014.04.007 C4299695!4299695 !24857424     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24857424 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Trends+Biotechnol 2014 ; 32 (7 ): 356-62 Nephropedia Template TP {{tp|p=24857424 |t=2014. Signaling hypergraphs |pdf=|usr=}}{{24857424 }} gab.com Text Signaling hypergraphs JO: Trends Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=24857424 #FOAvip Signaling pathways function as the information-passing mechanisms of cells. A number of databases with extensive manual curation represent the current knowledge base for signaling pathways. These databases motivate the development of 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 a representation of signaling pathways that is underutilized: the hypergraph. We demonstrate the usefulness of hypergraphs in this context and discuss challenges and opportunities for the scientific community. Twit Text FOAVip Signaling hypergraphs ????Trends Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=24857424 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24857424 #FOAvip English Wikipedia <ref>{{Cite pmid|24857424 }}</ref> Signaling hypergraphs #MMPMID24857424 Ritz A ; Tegge AN ; Kim H ; Poirel CL ; Murali TM Trends Biotechnol 2014[Jul]; 32 (7 ): 356-62 PMID24857424 show ga Signaling pathways function as the information-passing mechanisms of cells. A number of databases with extensive manual curation represent the current knowledge base for signaling pathways. These databases motivate the development of 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 a representation of signaling pathways that is underutilized: the hypergraph. We demonstrate the usefulness of hypergraphs in this context and discuss challenges and opportunities for the scientific community. |*Signal Transduction [MESH] |Computational Biology/*methods [MESH] |Computer Simulation [MESH] |Databases, Factual [MESH] |Gene Expression Regulation [MESH] |Models, Biological [MESH]Signaling hypergraphs (epmc).pdf DeepDyve Pubget Overpricing