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.

10.1039/c5mb00444f http://scihub22266oqcxt.onion/10.1039/c5mb00444f C4814269!4814269!26315485     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mol+Biosyst 2015 ; 11 (11): 2850-9 Nephropedia Template TP {{tp|p=26315485|t=2015. An integrated network platform for contextual prioritization of drugs and pathways |pdf=|usr=}}{{26315485}} gab.com Text An integrated network platform for contextual prioritization of drugs and pathways JO: Mol Biosyst http://www.kidney.de/pget.php?&tw=1&pmid=26315485 #FOAvip Repurposing of drugs to novel disease indications has a promise of faster clinical translation. However, identifying best drugs for a given pathological context is not trivial. We developed an integrated random walk-based network framework that combines functional biomolecular relationships and known drug-target interactions as a platform for contextual prioritization of drugs, genes and pathways. We show that the use of gene-centric or drug-centric data, such as gene expression data or a phenotypic drug screen, respectively, within this network platform can effectively prioritize drugs and pathways, respectively, to the studied biological context. We demonstrate that various genomic data can be used as contextual cues to effectively prioritize drugs to the studied context, while similarly, phenotypic drug screen data can be used to effectively prioritize genes and pathways to the studied phenotypic context. As a proof-of-principle, we showcase the use of our platform to identify known and novel drug indications against different subsets of breast cancers through contextual prioritization based on genome-wide gene expression, shRNA and drug screen and clinical survival data. The integrated network and associated methods are incorporated into the NetWalker suite for functional genomics analysis (http://netwalkersuite.org). Twit Text FOAVip An integrated network platform for contextual prioritization of drugs and pathways ????Mol Biosyst http://www.kidney.de/pget.php?&tw=1&pmid=26315485 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26315485 #FOAvip English Wikipedia <ref>{{Cite pmid|26315485}}</ref> An integrated network platform for contextual prioritization of drugs and pathways #MMPMID26315485 Segura-Cabrera A; Singh N; Komurov K Mol Biosyst 2015[Nov]; 11 (11): 2850-9 PMID26315485show ga Repurposing of drugs to novel disease indications has a promise of faster clinical translation. However, identifying best drugs for a given pathological context is not trivial. We developed an integrated random walk-based network framework that combines functional biomolecular relationships and known drug-target interactions as a platform for contextual prioritization of drugs, genes and pathways. We show that the use of gene-centric or drug-centric data, such as gene expression data or a phenotypic drug screen, respectively, within this network platform can effectively prioritize drugs and pathways, respectively, to the studied biological context. We demonstrate that various genomic data can be used as contextual cues to effectively prioritize drugs to the studied context, while similarly, phenotypic drug screen data can be used to effectively prioritize genes and pathways to the studied phenotypic context. As a proof-of-principle, we showcase the use of our platform to identify known and novel drug indications against different subsets of breast cancers through contextual prioritization based on genome-wide gene expression, shRNA and drug screen and clinical survival data. The integrated network and associated methods are incorporated into the NetWalker suite for functional genomics analysis (http://netwalkersuite.org). äAn integrated network platform for contextual prioritization of drugs (epmc).pdf DeepDyve Pubget Overpricing