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10.1038/srep21872 http://scihub22266oqcxt.onion/10.1038/srep21872 C4766474!4766474 !26912056     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26912056 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2016 ; 6 (ä): 21872 Nephropedia Template TP {{tp|p=26912056 |t=2016. New strategy for drug discovery by large-scale association analysis of molecular networks of different species |pdf=|usr=}}{{26912056 }} gab.com Text New strategy for drug discovery by large-scale association analysis of molecular networks of different species JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26912056 #FOAvip The development of modern omics technology has not significantly improved the efficiency of drug development. Rather precise and targeted drug discovery remains unsolved. Here a large-scale cross-species molecular network association (CSMNA) approach for targeted drug screening from natural sources is presented. The algorithm integrates molecular network omics data from humans and 267 plants and microbes, establishing the biological relationships between them and extracting evolutionarily convergent chemicals. This technique allows the researcher to assess targeted drugs for specific human diseases based on specific plant or microbe pathways. In a perspective validation, connections between the plant Halliwell-Asada (HA) cycle and the human Nrf2-ARE pathway were verified and the manner by which the HA cycle molecules act on the human Nrf2-ARE pathway as antioxidants was determined. This shows the potential applicability of this approach in drug discovery. The current method integrates disparate evolutionary species into chemico-biologically coherent circuits, suggesting a new cross-species omics analysis strategy for rational drug development. Twit Text FOAVip New strategy for drug discovery by large-scale association analysis of molecular networks of different species ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26912056 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26912056 #FOAvip English Wikipedia <ref>{{Cite pmid|26912056 }}</ref> New strategy for drug discovery by large-scale association analysis of molecular networks of different species #MMPMID26912056 Zhang B ; Fu Y ; Huang C ; Zheng C ; Wu Z ; Zhang W ; Yang X ; Gong F ; Li Y ; Chen X ; Gao S ; Chen X ; Li Y ; Lu A ; Wang Y Sci Rep 2016[Feb]; 6 (ä): 21872 PMID26912056 show ga The development of modern omics technology has not significantly improved the efficiency of drug development. Rather precise and targeted drug discovery remains unsolved. Here a large-scale cross-species molecular network association (CSMNA) approach for targeted drug screening from natural sources is presented. The algorithm integrates molecular network omics data from humans and 267 plants and microbes, establishing the biological relationships between them and extracting evolutionarily convergent chemicals. This technique allows the researcher to assess targeted drugs for specific human diseases based on specific plant or microbe pathways. In a perspective validation, connections between the plant Halliwell-Asada (HA) cycle and the human Nrf2-ARE pathway were verified and the manner by which the HA cycle molecules act on the human Nrf2-ARE pathway as antioxidants was determined. This shows the potential applicability of this approach in drug discovery. The current method integrates disparate evolutionary species into chemico-biologically coherent circuits, suggesting a new cross-species omics analysis strategy for rational drug development. |*Drug Discovery [MESH] |Antioxidants/metabolism [MESH] |Ascorbic Acid/metabolism [MESH] |Bacteria/*metabolism [MESH] |Biological Products/*chemistry/metabolism [MESH] |Fungi/*metabolism [MESH] |Glutathione/metabolism [MESH] |Humans [MESH] |K562 Cells [MESH] |NF-E2-Related Factor 2/metabolism [MESH] |Plants/*metabolism [MESH]New strategy for drug discovery by large-scale association analysis of(epmc).pdf DeepDyve Pubget Overpricing