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10.1093/bib/bbab339 http://scihub22266oqcxt.onion/10.1093/bib/bbab339 34423353!ä!34423353 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brief+Bioinform 2021 ; 22 (6): ä Nephropedia Template TP {{tp|p=34423353|t=2021. Recent omics-based computational methods for COVID-19 drug discovery and repurposing |pdf=|usr=}}{{34423353}} gab.com Text Recent omics-based computational methods for COVID-19 drug discovery and repurposing JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34423353 #FOAvip The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the main reason for the increasing number of deaths worldwide. Although strict quarantine measures were followed in many countries, the disease situation is still intractable. Thus, it is needed to utilize all possible means to confront this pandemic. Therefore, researchers are in a race against the time to produce potential treatments to cure or reduce the increasing infections of COVID-19. Computational methods are widely proving rapid successes in biological related problems, including diagnosis and treatment of diseases. Many efforts in recent months utilized Artificial Intelligence (AI) techniques in the context of fighting the spread of COVID-19. Providing periodic reviews and discussions of recent efforts saves the time of researchers and helps to link their endeavors for a faster and efficient confrontation of the pandemic. In this review, we discuss the recent promising studies that used Omics-based data and utilized AI algorithms and other computational tools to achieve this goal. We review the established datasets and the developed methods that were basically directed to new or repurposed drugs, vaccinations and diagnosis. The tools and methods varied depending on the level of details in the available information such as structures, sequences or metabolic data. Twit Text FOAVip Recent omics-based computational methods for COVID-19 drug discovery and repurposing ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34423353 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34423353 #FOAvip English Wikipedia <ref>{{Cite pmid|34423353}}</ref> Recent omics-based computational methods for COVID-19 drug discovery and repurposing #MMPMID34423353 Tayara H; Abdelbaky I; To Chong K Brief Bioinform 2021[Nov]; 22 (6): ä PMID34423353show ga The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the main reason for the increasing number of deaths worldwide. Although strict quarantine measures were followed in many countries, the disease situation is still intractable. Thus, it is needed to utilize all possible means to confront this pandemic. Therefore, researchers are in a race against the time to produce potential treatments to cure or reduce the increasing infections of COVID-19. Computational methods are widely proving rapid successes in biological related problems, including diagnosis and treatment of diseases. Many efforts in recent months utilized Artificial Intelligence (AI) techniques in the context of fighting the spread of COVID-19. Providing periodic reviews and discussions of recent efforts saves the time of researchers and helps to link their endeavors for a faster and efficient confrontation of the pandemic. In this review, we discuss the recent promising studies that used Omics-based data and utilized AI algorithms and other computational tools to achieve this goal. We review the established datasets and the developed methods that were basically directed to new or repurposed drugs, vaccinations and diagnosis. The tools and methods varied depending on the level of details in the available information such as structures, sequences or metabolic data. |*COVID-19 Drug Treatment[MESH] |*Drug Discovery[MESH] |*Drug Repositioning[MESH] |Algorithms[MESH] |Artificial Intelligence[MESH] |COVID-19/genetics/virology[MESH] |Genomics/trends[MESH] |Humans[MESH] |Pandemics[MESH] |Proteomics/trends[MESH] |SARS-CoV-2/drug effects/*genetics/pathogenicity[MESH]Recent omics-based computational methods for COVID-19 drug discovery a(epmc).pdf DeepDyve Pubget Overpricing