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.

10.1186/s12967-020-02480-z http://scihub22266oqcxt.onion/10.1186/s12967-020-02480-z 32811513!7432461!32811513     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       J+Transl+Med 2020 ; 18 (1): 319 Nephropedia Template TP {{tp|p=32811513|t=2020. The current landscape of coronavirus-host protein-protein interactions |pdf=|usr=}}{{32811513}} gab.com Text The current landscape of coronavirus-host protein-protein interactions JO: J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32811513 #FOAvip In less than 20 years, three deadly coronaviruses, SARS-CoV, MERS-CoV and SARS-CoV-2, have emerged in human population causing hundreds to hundreds of thousands of deaths. Other coronaviruses are causing epizootic representing a significant threat for both domestic and wild animals. Members of this viral family have the longest genome of all RNA viruses, and express up to 29 proteins establishing complex interactions with the host proteome. Deciphering these interactions is essential to identify cellular pathways hijacked by these viruses to replicate and escape innate immunity. Virus-host interactions also provide key information to select targets for antiviral drug development. Here, we have manually curated the literature to assemble a unique dataset of 1311 coronavirus-host protein-protein interactions. Functional enrichment and network-based analyses showed coronavirus connections to RNA processing and translation, DNA damage and pathogen sensing, interferon production, and metabolic pathways. In particular, this global analysis pinpointed overlooked interactions with translation modulators (GIGYF2-EIF4E2), components of the nuclear pore, proteins involved in mitochondria homeostasis (PHB, PHB2, STOML2), and methylation pathways (MAT2A/B). Finally, interactome data provided a rational for the antiviral activity of some drugs inhibiting coronaviruses replication. Altogether, this work describing the current landscape of coronavirus-host interactions provides valuable hints for understanding the pathophysiology of coronavirus infections and developing effective antiviral therapies. Twit Text FOAVip The current landscape of coronavirus-host protein-protein interactions ????J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32811513 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32811513 #FOAvip English Wikipedia <ref>{{Cite pmid|32811513}}</ref> The current landscape of coronavirus-host protein-protein interactions #MMPMID32811513 Perrin-Cocon L; Diaz O; Jacquemin C; Barthel V; Ogire E; Ramiere C; Andre P; Lotteau V; Vidalain PO J Transl Med 2020[Aug]; 18 (1): 319 PMID32811513show ga In less than 20 years, three deadly coronaviruses, SARS-CoV, MERS-CoV and SARS-CoV-2, have emerged in human population causing hundreds to hundreds of thousands of deaths. Other coronaviruses are causing epizootic representing a significant threat for both domestic and wild animals. Members of this viral family have the longest genome of all RNA viruses, and express up to 29 proteins establishing complex interactions with the host proteome. Deciphering these interactions is essential to identify cellular pathways hijacked by these viruses to replicate and escape innate immunity. Virus-host interactions also provide key information to select targets for antiviral drug development. Here, we have manually curated the literature to assemble a unique dataset of 1311 coronavirus-host protein-protein interactions. Functional enrichment and network-based analyses showed coronavirus connections to RNA processing and translation, DNA damage and pathogen sensing, interferon production, and metabolic pathways. In particular, this global analysis pinpointed overlooked interactions with translation modulators (GIGYF2-EIF4E2), components of the nuclear pore, proteins involved in mitochondria homeostasis (PHB, PHB2, STOML2), and methylation pathways (MAT2A/B). Finally, interactome data provided a rational for the antiviral activity of some drugs inhibiting coronaviruses replication. Altogether, this work describing the current landscape of coronavirus-host interactions provides valuable hints for understanding the pathophysiology of coronavirus infections and developing effective antiviral therapies. |*Protein Interaction Maps[MESH] |Animals[MESH] |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*metabolism/virology[MESH] |Coronavirus/chemistry/*metabolism[MESH] |Databases, Protein[MESH] |Host-Pathogen Interactions/*physiology[MESH] |Humans[MESH] |Mitochondrial Proteins/metabolism[MESH] |Pandemics[MESH] |Pneumonia, Viral/metabolism/virology[MESH] |Prohibitins[MESH] |SARS-CoV-2[MESH] |Transcription Factors/metabolism[MESH] |Viral Proteins/*metabolism[MESH]The current landscape of coronavirus-host protein-protein interactions(epmc).pdf DeepDyve Pubget Overpricing