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10.1038/s41597-021-00799-w http://scihub22266oqcxt.onion/10.1038/s41597-021-00799-w 33441564!7806933!33441564     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 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 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       Sci+Data 2021 ; 8 (1): 16 Nephropedia Template TP {{tp|p=33441564|t=2021. Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection |pdf=|usr=}}{{33441564}} gab.com Text Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33441564 #FOAvip Our systematic literature collection and annotation identified 106 chemical drugs and 31 antibodies effective against the infection of at least one human coronavirus (including SARS-CoV, SAR-CoV-2, and MERS-CoV) in vitro or in vivo in an experimental or clinical setting. A total of 163 drug protein targets were identified, and 125 biological processes involving the drug targets were significantly enriched based on a Gene Ontology (GO) enrichment analysis. The Coronavirus Infectious Disease Ontology (CIDO) was used as an ontological platform to represent the anti-coronaviral drugs, chemical compounds, drug targets, biological processes, viruses, and the relations among these entities. In addition to new term generation, CIDO also adopted various terms from existing ontologies and developed new relations and axioms to semantically represent our annotated knowledge. The CIDO knowledgebase was systematically analyzed for scientific insights. To support rational drug design, a "Host-coronavirus interaction (HCI) checkpoint cocktail" strategy was proposed to interrupt the important checkpoints in the dynamic HCI network, and ontologies would greatly support the design process with interoperable knowledge representation and reasoning. Twit Text FOAVip Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33441564 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33441564 #FOAvip English Wikipedia <ref>{{Cite pmid|33441564}}</ref> Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection #MMPMID33441564 Liu Y; Hur J; Chan WKB; Wang Z; Xie J; Sun D; Handelman S; Sexton J; Yu H; He Y Sci Data 2021[Jan]; 8 (1): 16 PMID33441564show ga Our systematic literature collection and annotation identified 106 chemical drugs and 31 antibodies effective against the infection of at least one human coronavirus (including SARS-CoV, SAR-CoV-2, and MERS-CoV) in vitro or in vivo in an experimental or clinical setting. A total of 163 drug protein targets were identified, and 125 biological processes involving the drug targets were significantly enriched based on a Gene Ontology (GO) enrichment analysis. The Coronavirus Infectious Disease Ontology (CIDO) was used as an ontological platform to represent the anti-coronaviral drugs, chemical compounds, drug targets, biological processes, viruses, and the relations among these entities. In addition to new term generation, CIDO also adopted various terms from existing ontologies and developed new relations and axioms to semantically represent our annotated knowledge. The CIDO knowledgebase was systematically analyzed for scientific insights. To support rational drug design, a "Host-coronavirus interaction (HCI) checkpoint cocktail" strategy was proposed to interrupt the important checkpoints in the dynamic HCI network, and ontologies would greatly support the design process with interoperable knowledge representation and reasoning. |Antiviral Agents/*pharmacology[MESH] |Coronavirus Infections/*drug therapy[MESH] |Datasets as Topic[MESH] |Drug Design[MESH] |Humans[MESH] |Knowledge Bases[MESH] |Middle East Respiratory Syndrome Coronavirus[MESH] |SARS-CoV-2[MESH]Ontological modeling and analysis of experimentally or clinically veri(epmc).pdf DeepDyve Pubget Overpricing