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10.1128/AAC.05148-14 http://scihub22266oqcxt.onion/10.1128/AAC.05148-14 C4538536!4538536!26149995     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26149995&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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       Antimicrob+Agents+Chemother 2015 ; 59 (9): 5664-74 Nephropedia Template TP {{tp|p=26149995|t=2015. In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment |pdf=|usr=}}{{26149995}} gab.com Text In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment JO: Antimicrob Agents Chemother http://www.kidney.de/pget.php?&tw=1&pmid=26149995 #FOAvip There are currently 18 drug classes for the treatment of tuberculosis, including those in the development pipeline. An in silico simulation enabled combing the innumerably large search space to derive multidrug combinations. Through the use of ordinary differential equations (ODE), we constructed an in silico kinetic platform in which the major metabolic pathways in Mycobacterium tuberculosis and the mechanisms of the antituberculosis drugs were integrated into a virtual proteome. The optimized model was used to evaluate 816 triplets from the set of 18 drugs. The experimentally derived cumulative fractional inhibitory concentration (?FIC) value was within twofold of the model prediction. Bacterial enumeration revealed that a significant number of combinations that were synergistic for growth inhibition were also synergistic for bactericidal effect. The in silico-based screen provided new starting points for testing in a mouse model of tuberculosis, in which two novel triplets and five novel quartets were significantly superior to the reference drug triplet of isoniazid, rifampin, and ethambutol (HRE) or the quartet of HRE plus pyrazinamide (HREZ). Twit Text FOAVip In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment ????Antimicrob Agents Chemother http://www.kidney.de/pget.php?&tw=1&pmid=26149995 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26149995 #FOAvip English Wikipedia <ref>{{Cite pmid|26149995}}</ref> In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment #MMPMID26149995 Singh R; Ramachandran V; Shandil R; Sharma S; Khandelwal S; Karmarkar M; Kumar N; Solapure S; Saralaya R; Nanduri R; Panduga V; Reddy J; Prabhakar KR; Rajagopalan S; Rao N; Narayanan S; Anandkumar A; Balasubramanian V; Datta S Antimicrob Agents Chemother 2015[Sep]; 59 (9): 5664-74 PMID26149995show ga There are currently 18 drug classes for the treatment of tuberculosis, including those in the development pipeline. An in silico simulation enabled combing the innumerably large search space to derive multidrug combinations. Through the use of ordinary differential equations (ODE), we constructed an in silico kinetic platform in which the major metabolic pathways in Mycobacterium tuberculosis and the mechanisms of the antituberculosis drugs were integrated into a virtual proteome. The optimized model was used to evaluate 816 triplets from the set of 18 drugs. The experimentally derived cumulative fractional inhibitory concentration (?FIC) value was within twofold of the model prediction. Bacterial enumeration revealed that a significant number of combinations that were synergistic for growth inhibition were also synergistic for bactericidal effect. The in silico-based screen provided new starting points for testing in a mouse model of tuberculosis, in which two novel triplets and five novel quartets were significantly superior to the reference drug triplet of isoniazid, rifampin, and ethambutol (HRE) or the quartet of HRE plus pyrazinamide (HREZ). äIn Silico-Based High-Throughput Screen for Discovery of Novel Combinat(epmc).pdf DeepDyve Pubget Overpricing