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10.1021/pr501321h http://scihub22266oqcxt.onion/10.1021/pr501321h C4428575!4428575!25812159     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Proteome+Res 2015 ; 14 (5): 2190-8 Nephropedia Template TP {{tp|p=25812159|t=2015. Kojak: Efficient analysis of chemically cross-linked protein complexes |pdf=|usr=}}{{25812159}} gab.com Text Kojak: Efficient analysis of chemically cross-linked protein complexes JO: J Proteome Res http://www.kidney.de/pget.php?&tw=1&pmid=25812159 #FOAvip Protein chemical cross-linking and mass spectrometry enable the analysis of protein-protein interactions and protein topologies, however complicated cross-linked peptide spectra require specialized algorithms to identify interacting sites. The Kojak cross-linking software application is a new, efficient approach to identify cross-linked peptides, enabling large-scale analysis of protein-protein interactions by chemical cross-linking techniques. The algorithm integrates spectral processing and scoring schemes adopted from traditional database search algorithms, and can identify cross-linked peptides using many different chemical cross-linkers, with or without heavy isotope labels. Kojak was used to analyze both novel and existing datasets, and was compared with existing cross-linking algorithms. The algorithm provided increased cross-link identifications over existing algorithms, and equally importantly, the results in a fraction of computational time. The Kojak algorithm is open-source, cross-platform, and freely available. This software provides both existing and new cross-linking researchers alike an effective way to derive additional cross-link identifications from new or existing datasets. For new users, it provides a simple analytical resource resulting in more cross-link identifications than other methods. Twit Text FOAVip Kojak: Efficient analysis of chemically cross-linked protein complexes ????J Proteome Res http://www.kidney.de/pget.php?&tw=1&pmid=25812159 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25812159 #FOAvip English Wikipedia <ref>{{Cite pmid|25812159}}</ref> Kojak: Efficient analysis of chemically cross-linked protein complexes #MMPMID25812159 Hoopmann MR; Zelter A; Johnson RS; Riffle M; MacCoss MJ; Davis TN; Moritz RL J Proteome Res 2015[May]; 14 (5): 2190-8 PMID25812159show ga Protein chemical cross-linking and mass spectrometry enable the analysis of protein-protein interactions and protein topologies, however complicated cross-linked peptide spectra require specialized algorithms to identify interacting sites. The Kojak cross-linking software application is a new, efficient approach to identify cross-linked peptides, enabling large-scale analysis of protein-protein interactions by chemical cross-linking techniques. The algorithm integrates spectral processing and scoring schemes adopted from traditional database search algorithms, and can identify cross-linked peptides using many different chemical cross-linkers, with or without heavy isotope labels. Kojak was used to analyze both novel and existing datasets, and was compared with existing cross-linking algorithms. The algorithm provided increased cross-link identifications over existing algorithms, and equally importantly, the results in a fraction of computational time. The Kojak algorithm is open-source, cross-platform, and freely available. This software provides both existing and new cross-linking researchers alike an effective way to derive additional cross-link identifications from new or existing datasets. For new users, it provides a simple analytical resource resulting in more cross-link identifications than other methods. äKojak: Efficient analysis of chemically cross-linked protein complexes(epmc).pdf DeepDyve Pubget Overpricing