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.

10.1093/nar/gkaa969 http://scihub22266oqcxt.onion/10.1093/nar/gkaa969 33166390!7778969!33166390     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nucleic+Acids+Res 2021 ; 49 (D1): D1113-D1121 Nephropedia Template TP {{tp|p=33166390|t=2021. COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics |pdf=|usr=}}{{33166390}} gab.com Text COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=33166390 #FOAvip The recent outbreak of COVID-19 has generated an enormous amount of Big Data. To date, the COVID-19 Open Research Dataset (CORD-19), lists approximately 130,000 articles from the WHO COVID-19 database, PubMed Central, medRxiv, and bioRxiv, as collected by Semantic Scholar. According to LitCovid (11 August 2020), approximately 40,300 COVID19-related articles are currently listed in PubMed. It has been shown in clinical settings that the analysis of past research results and the mining of available data can provide novel opportunities for the successful application of currently approved therapeutics and their combinations for the treatment of conditions caused by a novel SARS-CoV-2 infection. As such, effective responses to the pandemic require the development of efficient applications, methods and algorithms for data navigation, text-mining, clustering, classification, analysis, and reasoning. Thus, our COVID19 Drug Repository represents a modular platform for drug data navigation and analysis, with an emphasis on COVID-19-related information currently being reported. The COVID19 Drug Repository enables users to focus on different levels of complexity, starting from general information about (FDA-) approved drugs, PubMed references, clinical trials, recipes as well as the descriptions of molecular mechanisms of drugs' action. Our COVID19 drug repository provide a most updated world-wide collection of drugs that has been repurposed for COVID19 treatments around the world. Twit Text FOAVip COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=33166390 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33166390 #FOAvip English Wikipedia <ref>{{Cite pmid|33166390}}</ref> COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics #MMPMID33166390 Tworowski D; Gorohovski A; Mukherjee S; Carmi G; Levy E; Detroja R; Mukherjee SB; Frenkel-Morgenstern M Nucleic Acids Res 2021[Jan]; 49 (D1): D1113-D1121 PMID33166390show ga The recent outbreak of COVID-19 has generated an enormous amount of Big Data. To date, the COVID-19 Open Research Dataset (CORD-19), lists approximately 130,000 articles from the WHO COVID-19 database, PubMed Central, medRxiv, and bioRxiv, as collected by Semantic Scholar. According to LitCovid (11 August 2020), approximately 40,300 COVID19-related articles are currently listed in PubMed. It has been shown in clinical settings that the analysis of past research results and the mining of available data can provide novel opportunities for the successful application of currently approved therapeutics and their combinations for the treatment of conditions caused by a novel SARS-CoV-2 infection. As such, effective responses to the pandemic require the development of efficient applications, methods and algorithms for data navigation, text-mining, clustering, classification, analysis, and reasoning. Thus, our COVID19 Drug Repository represents a modular platform for drug data navigation and analysis, with an emphasis on COVID-19-related information currently being reported. The COVID19 Drug Repository enables users to focus on different levels of complexity, starting from general information about (FDA-) approved drugs, PubMed references, clinical trials, recipes as well as the descriptions of molecular mechanisms of drugs' action. Our COVID19 drug repository provide a most updated world-wide collection of drugs that has been repurposed for COVID19 treatments around the world. |*COVID-19 Drug Treatment[MESH] |Antiviral Agents/*therapeutic use[MESH] |COVID-19/epidemiology/prevention & control/virology[MESH] |Clinical Trials as Topic/methods/statistics & numerical data[MESH] |Data Mining/methods/statistics & numerical data[MESH] |Databases, Pharmaceutical/*statistics & numerical data[MESH] |Drug Approval/statistics & numerical data[MESH] |Drug Repositioning/methods/*statistics & numerical data[MESH] |Epidemics[MESH] |Humans[MESH] |Machine Learning[MESH]COVID19 Drug Repository: text-mining the literature in search of putat(epmc).pdf DeepDyve Pubget Overpricing