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10.1016/j.jmgm.2022.108264 http://scihub22266oqcxt.onion/10.1016/j.jmgm.2022.108264 35820344!ä!35820344 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 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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Mol+Graph+Model 2022 ; 116 (ä): 108264 Nephropedia Template TP {{tp|p=35820344|t=2022. Exploring the multiple conformational states of RNA genome through interhelical dynamics and network analysis |pdf=|usr=}}{{35820344}} gab.com Text Exploring the multiple conformational states of RNA genome through interhelical dynamics and network analysis JO: J Mol Graph Model http://www.kidney.de/pget.php?&tw=1&pmid=35820344 #FOAvip The structural variation of RNA is often very transient and can be easily missed in experiments. Molecular dynamics simulation studies along with network analysis can be an effective tool to identify prominent conformations of such dynamic biomolecular systems. Here we describe a method to effectively sample different RNA conformations at six different temperatures based on the changes in the interhelical orientations. This method gives the information about prominent states of the RNA as well as the probability of the existence of different conformations and their interconnections during the process of evolution. In the case of the SARS-CoV-2 genome, the change of prominent structures was found to be faster at 333 K as compared to higher temperatures due to the formation of the non-native base pairs. DeltaDeltaG calculated between 288 K and 363 K are found to be 10.31 kcal/mol (88 nt) considering the contribution from the multiple states of the RNA which agrees well with the experimentally reported denaturation energy for E. coli alpha mRNA pseudoknot ( approximately 16 kcal/mol, 112 nt) determined by calorimetry/UV hyperchromicity and human telomerase RNA telomerase (4.5-6.6 kcal/mol, 54 nt) determined by FRET analysis. Twit Text FOAVip Exploring the multiple conformational states of RNA genome through interhelical dynamics and network analysis ????J Mol Graph Model http://www.kidney.de/pget.php?&tw=1&pmid=35820344 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35820344 #FOAvip English Wikipedia <ref>{{Cite pmid|35820344}}</ref> Exploring the multiple conformational states of RNA genome through interhelical dynamics and network analysis #MMPMID35820344 Singh O; Venugopal PP; Mathur A; Chakraborty D J Mol Graph Model 2022[Nov]; 116 (ä): 108264 PMID35820344show ga The structural variation of RNA is often very transient and can be easily missed in experiments. Molecular dynamics simulation studies along with network analysis can be an effective tool to identify prominent conformations of such dynamic biomolecular systems. Here we describe a method to effectively sample different RNA conformations at six different temperatures based on the changes in the interhelical orientations. This method gives the information about prominent states of the RNA as well as the probability of the existence of different conformations and their interconnections during the process of evolution. In the case of the SARS-CoV-2 genome, the change of prominent structures was found to be faster at 333 K as compared to higher temperatures due to the formation of the non-native base pairs. DeltaDeltaG calculated between 288 K and 363 K are found to be 10.31 kcal/mol (88 nt) considering the contribution from the multiple states of the RNA which agrees well with the experimentally reported denaturation energy for E. coli alpha mRNA pseudoknot ( approximately 16 kcal/mol, 112 nt) determined by calorimetry/UV hyperchromicity and human telomerase RNA telomerase (4.5-6.6 kcal/mol, 54 nt) determined by FRET analysis. |*COVID-19[MESH] |*Escherichia coli[MESH] |Humans[MESH] |Molecular Dynamics Simulation[MESH] |Nucleic Acid Conformation[MESH] |RNA/chemistry/genetics[MESH] |SARS-CoV-2/genetics[MESH]Exploring the multiple conformational states of RNA genome through int(epmc).pdf DeepDyve Pubget Overpricing