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10.1007/s41048-015-0001-4 http://scihub22266oqcxt.onion/10.1007/s41048-015-0001-4 C4762127!4762127 !26942214     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26942214 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26942214 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Biophys+Rep 2015 ; 1 (ä): 2-13 Nephropedia Template TP {{tp|p=26942214 |t=2015. Physics-based RNA structure prediction |pdf=|usr=}}{{26942214 }} gab.com Text Physics-based RNA structure prediction JO: Biophys Rep http://www.kidney.de/pget.php?&tw=1&pmid=26942214 #FOAvip Despite the success of RNA secondary structure prediction for simple, short RNAs, the problem of predicting RNAs with long-range tertiary folds remains. Furthermore, RNA 3D structure prediction is hampered by the lack of the knowledge about the tertiary contacts and their thermodynamic parameters. Low-resolution structural modeling enables us to estimate the conformational entropies for a number of tertiary folds through rigorous statistical mechanical calculations. The models lead to 3D tertiary folds at coarse-grained level. The coarse-grained structures serve as the initial structures for all-atom molecular dynamics refinement to build the final all-atom 3D structures. In this paper, we present an overview of RNA computational models for secondary and tertiary structures' predictions and then focus on a recently developed RNA statistical mechanical model-the Vfold model. The main emphasis is placed on the physics behind the models, including the treatment of the non-canonical interactions in secondary and tertiary structure modelings, and the correlations to RNA functions. Twit Text FOAVip Physics-based RNA structure prediction ????Biophys Rep http://www.kidney.de/pget.php?&tw=1&pmid=26942214 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26942214 #FOAvip English Wikipedia <ref>{{Cite pmid|26942214 }}</ref> Physics-based RNA structure prediction #MMPMID26942214 Xu X ; Chen SJ Biophys Rep 2015[]; 1 (ä): 2-13 PMID26942214 show ga Despite the success of RNA secondary structure prediction for simple, short RNAs, the problem of predicting RNAs with long-range tertiary folds remains. Furthermore, RNA 3D structure prediction is hampered by the lack of the knowledge about the tertiary contacts and their thermodynamic parameters. Low-resolution structural modeling enables us to estimate the conformational entropies for a number of tertiary folds through rigorous statistical mechanical calculations. The models lead to 3D tertiary folds at coarse-grained level. The coarse-grained structures serve as the initial structures for all-atom molecular dynamics refinement to build the final all-atom 3D structures. In this paper, we present an overview of RNA computational models for secondary and tertiary structures' predictions and then focus on a recently developed RNA statistical mechanical model-the Vfold model. The main emphasis is placed on the physics behind the models, including the treatment of the non-canonical interactions in secondary and tertiary structure modelings, and the correlations to RNA functions. äPhysics-based RNA structure prediction (epmc).pdf DeepDyve Pubget Overpricing