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10.1016/j.chembiol.2014.02.012 http://scihub22266oqcxt.onion/10.1016/j.chembiol.2014.02.012 C4281482!4281482!24704506     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chem+Biol 2014 ; 21 (4): 541-51 Nephropedia Template TP {{tp|p=24704506|t=2014. Large-Scale Identification and Analysis of Suppressive Drug Interactions |pdf=|usr=}}{{24704506}} gab.com Text Large-Scale Identification and Analysis of Suppressive Drug Interactions JO: Chem Biol http://www.kidney.de/pget.php?&tw=1&pmid=24704506 #FOAvip One drug may suppress the effects of another. Although knowledge of drug suppression is vital to avoid efficacy-reducing drug interactions or discover countermeasures for chemical toxins, drug-drug suppression relationships have not been systematically mapped. Here, we analyze the growth response of Saccharomyces cerevisiae to anti-fungal compound (?drug?) pairs. Among 440 ordered drug pairs, we identified 94 suppressive drug interactions. Using only pairs not selected on the basis of their suppression behavior, we provide an estimate of the prevalence of suppressive interactions between anti-fungal compounds as 17%. Analysis of the drug suppression network suggested that Bromopyruvate is a frequently suppressive drug and Staurosporine is a frequently suppressed drug. We investigated potential explanations for suppressive drug interactions, including chemogenomic analysis, coaggregation, and pH effects, allowing us to explain the interaction tendencies of Bromopyruvate. Twit Text FOAVip Large-Scale Identification and Analysis of Suppressive Drug Interactions ????Chem Biol http://www.kidney.de/pget.php?&tw=1&pmid=24704506 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24704506 #FOAvip English Wikipedia <ref>{{Cite pmid|24704506}}</ref> Large-Scale Identification and Analysis of Suppressive Drug Interactions #MMPMID24704506 Cokol M; Weinstein ZB; Yilancioglu K; Tasan M; Doak A; Cansever D; Mutlu B; Li S; Rodriguez-Esteban R; Akhmedov M; Guvenek A; Cokol M; Cetiner S; Giaever G; Iossifov I; Nislow C; Shoichet B; Roth FP Chem Biol 2014[Apr]; 21 (4): 541-51 PMID24704506show ga One drug may suppress the effects of another. Although knowledge of drug suppression is vital to avoid efficacy-reducing drug interactions or discover countermeasures for chemical toxins, drug-drug suppression relationships have not been systematically mapped. Here, we analyze the growth response of Saccharomyces cerevisiae to anti-fungal compound (?drug?) pairs. Among 440 ordered drug pairs, we identified 94 suppressive drug interactions. Using only pairs not selected on the basis of their suppression behavior, we provide an estimate of the prevalence of suppressive interactions between anti-fungal compounds as 17%. Analysis of the drug suppression network suggested that Bromopyruvate is a frequently suppressive drug and Staurosporine is a frequently suppressed drug. We investigated potential explanations for suppressive drug interactions, including chemogenomic analysis, coaggregation, and pH effects, allowing us to explain the interaction tendencies of Bromopyruvate. äLarge-Scale Identification and Analysis of Suppressive Drug Interactio(epmc).pdf DeepDyve Pubget Overpricing