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10.1038/ncomms15733 http://scihub22266oqcxt.onion/10.1038/ncomms15733 C5472751!5472751!28598440     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2017 ; 8 (ä): ä Nephropedia Template TP {{tp|p=28598440|t=2017. An autonomous organic reaction search engine for chemical reactivity |pdf=|usr=}}{{28598440}} gab.com Text An autonomous organic reaction search engine for chemical reactivity JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28598440 #FOAvip The exploration of chemical space for new reactivity, reactions and molecules is limited by the need for separate work-up-separation steps searching for molecules rather than reactivity. Herein we present a system that can autonomously evaluate chemical reactivity within a network of 64 possible reaction combinations and aims for new reactivity, rather than a predefined set of targets. The robotic system combines chemical handling, in-line spectroscopy and real-time feedback and analysis with an algorithm that is able to distinguish and select the most reactive pathways, generating a reaction selection index (RSI) without need for separate work-up or purification steps. This allows the automatic navigation of a chemical network, leading to previously unreported molecules while needing only to do a fraction of the total possible reactions without any prior knowledge of the chemistry. We show the RSI correlates with reactivity and is able to search chemical space using the most reactive pathways. Twit Text FOAVip An autonomous organic reaction search engine for chemical reactivity ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28598440 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28598440 #FOAvip English Wikipedia <ref>{{Cite pmid|28598440}}</ref> An autonomous organic reaction search engine for chemical reactivity #MMPMID28598440 Dragone V; Sans V; Henson AB; Granda JM; Cronin L Nat Commun 2017[]; 8 (ä): ä PMID28598440show ga The exploration of chemical space for new reactivity, reactions and molecules is limited by the need for separate work-up-separation steps searching for molecules rather than reactivity. Herein we present a system that can autonomously evaluate chemical reactivity within a network of 64 possible reaction combinations and aims for new reactivity, rather than a predefined set of targets. The robotic system combines chemical handling, in-line spectroscopy and real-time feedback and analysis with an algorithm that is able to distinguish and select the most reactive pathways, generating a reaction selection index (RSI) without need for separate work-up or purification steps. This allows the automatic navigation of a chemical network, leading to previously unreported molecules while needing only to do a fraction of the total possible reactions without any prior knowledge of the chemistry. We show the RSI correlates with reactivity and is able to search chemical space using the most reactive pathways. äAn autonomous organic reaction search engine for chemical reactivity (epmc).pdf DeepDyve Pubget Overpricing