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.

10.1002/cpt.318 http://scihub22266oqcxt.onion/10.1002/cpt.318 C4785018!4785018!26659699     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Pharmacol+Ther 2016 ; 99 (3): 285-97 Nephropedia Template TP {{tp|p=26659699|t=2016. Leveraging big data to transform target selection and drug discovery |pdf=|usr=}}{{26659699}} gab.com Text Leveraging big data to transform target selection and drug discovery JO: Clin Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=26659699 #FOAvip The advances of genomics, sequencing, and high throughput technologies have led to the creation of large volumes of diverse datasets for drug discovery. Analyzing these datasets to better understand disease and discover new drugs is becoming more common. Recent open data initiatives in basic and clinical research have dramatically increased the types of data available to the public. The past few years have witnessed successful use of big data in many sectors across the whole drug discovery pipeline. In this review, we will highlight the state of the art in leveraging big data to identify new targets, drug indications, and drug response biomarkers in this era of precision medicine. Twit Text FOAVip Leveraging big data to transform target selection and drug discovery ????Clin Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=26659699 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26659699 #FOAvip English Wikipedia <ref>{{Cite pmid|26659699}}</ref> Leveraging big data to transform target selection and drug discovery #MMPMID26659699 Chen B; Butte A Clin Pharmacol Ther 2016[Mar]; 99 (3): 285-97 PMID26659699show ga The advances of genomics, sequencing, and high throughput technologies have led to the creation of large volumes of diverse datasets for drug discovery. Analyzing these datasets to better understand disease and discover new drugs is becoming more common. Recent open data initiatives in basic and clinical research have dramatically increased the types of data available to the public. The past few years have witnessed successful use of big data in many sectors across the whole drug discovery pipeline. In this review, we will highlight the state of the art in leveraging big data to identify new targets, drug indications, and drug response biomarkers in this era of precision medicine. äLeveraging big data to transform target selection and drug discovery (epmc).pdf DeepDyve Pubget Overpricing