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.

10.1515/jib-2020-0047 http://scihub22266oqcxt.onion/10.1515/jib-2020-0047 33725751!8035959!33725751     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Integr+Bioinform 2021 ; 18 (1): 45-50 Nephropedia Template TP {{tp|p=33725751|t=2021. Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection |pdf=|usr=}}{{33725751}} gab.com Text Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection JO: J Integr Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33725751 #FOAvip Different types of noncoding RNAs like microRNAs (miRNAs) and circular RNAs (circRNAs) have been shown to take part in various cellular processes including post-transcriptional gene regulation during infection. MiRNAs are expressed by more than 200 organisms ranging from viruses to higher eukaryotes. Since miRNAs seem to be involved in host-pathogen interactions, many studies attempted to identify whether human miRNAs could target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNAs as an antiviral defence mechanism. In this work, a machine learning based miRNA analysis workflow was developed to predict differential expression patterns of human miRNAs during SARS-CoV-2 infection. In order to obtain the graphical representation of miRNA hairpins, 36 features were defined based on the secondary structures. Moreover, potential targeting interactions between human circRNAs and miRNAs as well as human miRNAs and viral mRNAs were investigated. Twit Text FOAVip Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection ????J Integr Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33725751 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33725751 #FOAvip English Wikipedia <ref>{{Cite pmid|33725751}}</ref> Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection #MMPMID33725751 Demirci YM; Sacar Demirci MD J Integr Bioinform 2021[Mar]; 18 (1): 45-50 PMID33725751show ga Different types of noncoding RNAs like microRNAs (miRNAs) and circular RNAs (circRNAs) have been shown to take part in various cellular processes including post-transcriptional gene regulation during infection. MiRNAs are expressed by more than 200 organisms ranging from viruses to higher eukaryotes. Since miRNAs seem to be involved in host-pathogen interactions, many studies attempted to identify whether human miRNAs could target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNAs as an antiviral defence mechanism. In this work, a machine learning based miRNA analysis workflow was developed to predict differential expression patterns of human miRNAs during SARS-CoV-2 infection. In order to obtain the graphical representation of miRNA hairpins, 36 features were defined based on the secondary structures. Moreover, potential targeting interactions between human circRNAs and miRNAs as well as human miRNAs and viral mRNAs were investigated. |COVID-19/diagnosis/genetics/*virology[MESH] |Humans[MESH] |MicroRNAs/*genetics[MESH] |RNA, Circular/*genetics[MESH] |RNA, Messenger/genetics[MESH]Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infec(epmc).pdf DeepDyve Pubget Overpricing