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10.1021/ac4006556 http://scihub22266oqcxt.onion/10.1021/ac4006556 C3692395!3692395 !23662732     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\23662732 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Anal+Chem 2013 ; 85 (12 ): 5666-75 Nephropedia Template TP {{tp|p=23662732 |t=2013. Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures |pdf=|usr=}}{{23662732 }} gab.com Text Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures JO: Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=23662732 #FOAvip Site-specific glycosylation (SSG) of glycoproteins remains a considerable challenge and limits further progress in the areas of proteomics and glycomics. Effective methods require new approaches in sample preparation, detection, and data analysis. While the field has advanced in sample preparation and detection, automated data analysis remains an important goal. A new bioinformatics approach implemented in software called GP Finder automatically distinguishes correct assignments from random matches and complements experimental techniques that are optimal for glycopeptides, including nonspecific proteolysis and high mass resolution liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for multiple N- and O-glycosylation sites, including extensive glycan heterogeneity, was annotated for single proteins and protein mixtures with a 5% false-discovery rate, generating hundreds of nonrandom glycopeptide matches and demonstrating the proof-of-concept for a self-consistency scoring algorithm shown to be compliant with the target-decoy approach (TDA). The approach was further applied to a mixture of N-glycoproteins from unprocessed human milk and O-glycoproteins from very-low-density-lipoprotein (vLDL) particles. Twit Text FOAVip Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures ????Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=23662732 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23662732 #FOAvip English Wikipedia <ref>{{Cite pmid|23662732 }}</ref> Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures #MMPMID23662732 Strum JS ; Nwosu CC ; Hua S ; Kronewitter SR ; Seipert RR ; Bachelor RJ ; An HJ ; Lebrilla CB Anal Chem 2013[Jun]; 85 (12 ): 5666-75 PMID23662732 show ga Site-specific glycosylation (SSG) of glycoproteins remains a considerable challenge and limits further progress in the areas of proteomics and glycomics. Effective methods require new approaches in sample preparation, detection, and data analysis. While the field has advanced in sample preparation and detection, automated data analysis remains an important goal. A new bioinformatics approach implemented in software called GP Finder automatically distinguishes correct assignments from random matches and complements experimental techniques that are optimal for glycopeptides, including nonspecific proteolysis and high mass resolution liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for multiple N- and O-glycosylation sites, including extensive glycan heterogeneity, was annotated for single proteins and protein mixtures with a 5% false-discovery rate, generating hundreds of nonrandom glycopeptide matches and demonstrating the proof-of-concept for a self-consistency scoring algorithm shown to be compliant with the target-decoy approach (TDA). The approach was further applied to a mixture of N-glycoproteins from unprocessed human milk and O-glycoproteins from very-low-density-lipoprotein (vLDL) particles. |Amino Acid Sequence [MESH] |Animals [MESH] |Binding Sites/physiology [MESH] |Cattle [MESH] |Chromatography, Liquid/methods [MESH] |Glycoproteins/analysis/genetics/*metabolism [MESH] |Glycosylation [MESH] |Humans [MESH] |Molecular Sequence Data [MESH] |Nitrogen/analysis/*metabolism [MESH] |Oxygen/analysis/*metabolism [MESH] |Polysaccharides/analysis/genetics/*metabolism [MESH] |Random Allocation [MESH]Automated assignments of N- and O-site specific glycosylation with ext(epmc).pdf DeepDyve Pubget Overpricing