FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3145566512> ?p ?o ?g. }

• W3145566512 endingPage "100569" @default.
• W3145566512 startingPage "100569" @default.
• W3145566512 abstract "The coronavirus disease 2019 (COVID-19) is an ongoing pandemic caused by an RNA virus termed as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). SARS-CoV-2 possesses an almost 30kbp long genome. The genome contains open-reading frame 1ab (ORF1ab) gene, the largest one of SARS-CoV-2, encoding polyprotein PP1ab and PP1a responsible for viral transcription and replication. Several vaccines have already been approved by the respective authorities over the world to develop herd immunity among the population. In consonance with this effort, RNA interference (RNAi) technology holds the possibility to strengthen the fight against this virus. Here, we have implemented a computational approach to predict potential short interfering RNAs including small interfering RNAs (siRNAs) and microRNAs (miRNAs), which are presumed to be intrinsically active against SARS-CoV-2. In doing so, we have screened miRNA library and siRNA library targeting the ORF1ab gene. We predicted the potential miRNA and siRNA candidate molecules utilizing an array of bioinformatic tools. By extending the analysis, out of 24 potential pre-miRNA hairpins and 131 siRNAs, 12 human miRNA and 10 siRNA molecules were sorted as potential therapeutic agents against SARS-CoV-2 based on their GC content, melting temperature (Tm), heat capacity (Cp), hybridization and minimal free energy (MFE) of hybridization. This computational study is focused on lessening the extensive time and labor needed in conventional trial and error based wet lab methods and it has the potential to act as a decent base for future researchers to develop a successful RNAi therapeutic." @default.
• W3145566512 created "2021-04-13" @default.
• W3145566512 creator A5011801554 @default.
• W3145566512 creator A5025164622 @default.
• W3145566512 creator A5027273131 @default.
• W3145566512 creator A5033992535 @default.
• W3145566512 creator A5048801032 @default.
• W3145566512 creator A5072431644 @default.
• W3145566512 creator A5088833251 @default.
• W3145566512 date "2021-01-01" @default.
• W3145566512 modified "2023-09-29" @default.
• W3145566512 title "Computational prediction of potential siRNA and human miRNA sequences to silence orf1ab associated genes for future therapeutics against SARS-CoV-2" @default.
• W3145566512 cites W1141573380 @default.
• W3145566512 cites W1611419331 @default.
• W3145566512 cites W1647075334 @default.
• W3145566512 cites W1648301895 @default.
• W3145566512 cites W184634879 @default.
• W3145566512 cites W1963640296 @default.
• W3145566512 cites W1969937956 @default.
• W3145566512 cites W1971168306 @default.
• W3145566512 cites W1976048929 @default.
• W3145566512 cites W1985133093 @default.
• W3145566512 cites W1988039566 @default.
• W3145566512 cites W1988783048 @default.
• W3145566512 cites W1991320836 @default.
• W3145566512 cites W1993956044 @default.
• W3145566512 cites W1994958179 @default.
• W3145566512 cites W1995770815 @default.
• W3145566512 cites W2002239006 @default.
• W3145566512 cites W2019387053 @default.
• W3145566512 cites W2021905258 @default.
• W3145566512 cites W2027954222 @default.
• W3145566512 cites W2029938306 @default.
• W3145566512 cites W2032758490 @default.
• W3145566512 cites W2039746015 @default.
• W3145566512 cites W2047781063 @default.
• W3145566512 cites W2050359514 @default.
• W3145566512 cites W2064629375 @default.
• W3145566512 cites W2070889557 @default.
• W3145566512 cites W2070999095 @default.
• W3145566512 cites W2074447404 @default.
• W3145566512 cites W2076365819 @default.
• W3145566512 cites W2077327925 @default.
• W3145566512 cites W2088998577 @default.
• W3145566512 cites W2094253263 @default.
• W3145566512 cites W2096018896 @default.
• W3145566512 cites W2100932663 @default.
• W3145566512 cites W2106082032 @default.
• W3145566512 cites W2106367530 @default.
• W3145566512 cites W2107235611 @default.
• W3145566512 cites W2110525565 @default.
• W3145566512 cites W2110586067 @default.
• W3145566512 cites W2111942038 @default.
• W3145566512 cites W2112192177 @default.
• W3145566512 cites W2113816707 @default.
• W3145566512 cites W2117991391 @default.
• W3145566512 cites W2118105142 @default.
• W3145566512 cites W2118850671 @default.
• W3145566512 cites W2119340328 @default.
• W3145566512 cites W2119826282 @default.
• W3145566512 cites W2120805065 @default.
• W3145566512 cites W2129706781 @default.
• W3145566512 cites W2136447541 @default.
• W3145566512 cites W2137801561 @default.
• W3145566512 cites W2140818786 @default.
• W3145566512 cites W2141307958 @default.
• W3145566512 cites W2142768277 @default.
• W3145566512 cites W2149538815 @default.
• W3145566512 cites W2152981092 @default.
• W3145566512 cites W2154085311 @default.
• W3145566512 cites W2155302688 @default.
• W3145566512 cites W2157916750 @default.
• W3145566512 cites W2165759865 @default.
• W3145566512 cites W2166802510 @default.
• W3145566512 cites W2167977613 @default.
• W3145566512 cites W2168909179 @default.
• W3145566512 cites W2171232191 @default.
• W3145566512 cites W2171520215 @default.
• W3145566512 cites W2288482887 @default.
• W3145566512 cites W2780228539 @default.
• W3145566512 cites W282221905 @default.
• W3145566512 cites W2883232257 @default.
• W3145566512 cites W2920438880 @default.
• W3145566512 cites W3001465255 @default.
• W3145566512 cites W3003217347 @default.
• W3145566512 cites W3012040732 @default.
• W3145566512 cites W3012352458 @default.
• W3145566512 cites W3020838714 @default.
• W3145566512 cites W3038792485 @default.
• W3145566512 cites W3046658973 @default.
• W3145566512 cites W3080596815 @default.
• W3145566512 cites W3091122177 @default.
• W3145566512 cites W3139533040 @default.
• W3145566512 cites W4210281265 @default.
• W3145566512 cites W4211039187 @default.
• W3145566512 doi "https://doi.org/10.1016/j.imu.2021.100569" @default.
• W3145566512 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8028608" @default.
• W3145566512 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33846694" @default.

• next