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10.1007/s10858-015-9961-4 http://scihub22266oqcxt.onion/10.1007/s10858-015-9961-4 C4669054!4669054 !26141454     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26141454 &cmd=llinks): Failed to open stream: HTTP request failed! 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Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression |pdf=|usr=}}{{26141454 }} gab.com Text Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression JO: J Biomol NMR http://www.kidney.de/pget.php?&tw=1&pmid=26141454 #FOAvip The Biological Magnetic Resonance Data Bank (BMRB) contains NMR chemical shift depositions for over 200 RNAs and RNA-containing complexes. We have analyzed the (1)H NMR and (13)C chemical shifts reported for non-exchangeable protons of 187 of these RNAs. Software was developed that downloads BMRB datasets and corresponding PDB structure files, and then generates residue-specific attributes based on the calculated secondary structure. Attributes represent properties present in each sequential stretch of five adjacent residues and include variables such as nucleotide type, base-pair presence and type, and tetraloop types. Attributes and (1)H and (13)C NMR chemical shifts of the central nucleotide are then used as input to train a predictive model using support vector regression. These models can then be used to predict shifts for new sequences. The new software tools, available as stand-alone scripts or integrated into the NMR visualization and analysis program NMRViewJ, should facilitate NMR assignment and/or validation of RNA (1)H and (13)C chemical shifts. In addition, our findings enabled the re-calibration a ring-current shift model using published NMR chemical shifts and high-resolution X-ray structural data as guides. Twit Text FOAVip Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression ????J Biomol NMR http://www.kidney.de/pget.php?&tw=1&pmid=26141454 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26141454 #FOAvip English Wikipedia <ref>{{Cite pmid|26141454 }}</ref> Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression #MMPMID26141454 Brown JD ; Summers MF ; Johnson BA J Biomol NMR 2015[Sep]; 63 (1 ): 39-52 PMID26141454 show ga The Biological Magnetic Resonance Data Bank (BMRB) contains NMR chemical shift depositions for over 200 RNAs and RNA-containing complexes. We have analyzed the (1)H NMR and (13)C chemical shifts reported for non-exchangeable protons of 187 of these RNAs. Software was developed that downloads BMRB datasets and corresponding PDB structure files, and then generates residue-specific attributes based on the calculated secondary structure. Attributes represent properties present in each sequential stretch of five adjacent residues and include variables such as nucleotide type, base-pair presence and type, and tetraloop types. Attributes and (1)H and (13)C NMR chemical shifts of the central nucleotide are then used as input to train a predictive model using support vector regression. These models can then be used to predict shifts for new sequences. The new software tools, available as stand-alone scripts or integrated into the NMR visualization and analysis program NMRViewJ, should facilitate NMR assignment and/or validation of RNA (1)H and (13)C chemical shifts. In addition, our findings enabled the re-calibration a ring-current shift model using published NMR chemical shifts and high-resolution X-ray structural data as guides. |*Data Mining [MESH] |*Databases as Topic [MESH] |*Support Vector Machine [MESH] |Automation [MESH] |Calibration [MESH] |Carbon/*chemistry [MESH] |Hydrogen/*chemistry [MESH] |Information Storage and Retrieval [MESH] |Nucleotides/chemistry [MESH] |RNA/*chemistry [MESH]Prediction of hydrogen and carbon chemical shifts from RNA using datab(epmc).pdf DeepDyve Pubget Overpricing