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10.1186/s12859-016-0963-3 http://scihub22266oqcxt.onion/10.1186/s12859-016-0963-3 C4802602!4802602!27001666     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Bioinformatics 2016 ; 17 (ä): ä Nephropedia Template TP {{tp|p=27001666|t=2016. Leveraging protein quaternary structure to identify oncogenic driver mutations |pdf=|usr=}}{{27001666}} gab.com Text Leveraging protein quaternary structure to identify oncogenic driver mutations JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27001666 #FOAvip Background: Identifying key ?driver? mutations which are responsible for tumorigenesis is critical in the development of new oncology drugs. Due to multiple pharmacological successes in treating cancers that are caused by such driver mutations, a large body of methods have been developed to differentiate these mutations from the benign ?passenger? mutations which occur in the tumor but do not further progress the disease. Under the hypothesis that driver mutations tend to cluster in key regions of the protein, the development of algorithms that identify these clusters has become a critical area of research. Results: We have developed a novel methodology, QuartPAC (Quaternary Protein Amino acid Clustering), that identifies non-random mutational clustering while utilizing the protein quaternary structure in 3D space. By integrating the spatial information in the Protein Data Bank (PDB) and the mutational data in the Catalogue of Somatic Mutations in Cancer (COSMIC), QuartPAC is able to identify clusters which are otherwise missed in a variety of proteins. The R package is available on Bioconductor at: http://bioconductor.jp/packages/3.1/bioc/html/QuartPAC.html. Conclusion: QuartPAC provides a unique tool to identify mutational clustering while accounting for the complete folded protein quaternary structure. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-016-0963-3) contains supplementary material, which is available to authorized users. Twit Text FOAVip Leveraging protein quaternary structure to identify oncogenic driver mutations ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27001666 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27001666 #FOAvip English Wikipedia <ref>{{Cite pmid|27001666}}</ref> Leveraging protein quaternary structure to identify oncogenic driver mutations #MMPMID27001666 Ryslik GA; Cheng Y; Modis Y; Zhao H BMC Bioinformatics 2016[]; 17 (ä): ä PMID27001666show ga Background: Identifying key ?driver? mutations which are responsible for tumorigenesis is critical in the development of new oncology drugs. Due to multiple pharmacological successes in treating cancers that are caused by such driver mutations, a large body of methods have been developed to differentiate these mutations from the benign ?passenger? mutations which occur in the tumor but do not further progress the disease. Under the hypothesis that driver mutations tend to cluster in key regions of the protein, the development of algorithms that identify these clusters has become a critical area of research. Results: We have developed a novel methodology, QuartPAC (Quaternary Protein Amino acid Clustering), that identifies non-random mutational clustering while utilizing the protein quaternary structure in 3D space. By integrating the spatial information in the Protein Data Bank (PDB) and the mutational data in the Catalogue of Somatic Mutations in Cancer (COSMIC), QuartPAC is able to identify clusters which are otherwise missed in a variety of proteins. The R package is available on Bioconductor at: http://bioconductor.jp/packages/3.1/bioc/html/QuartPAC.html. Conclusion: QuartPAC provides a unique tool to identify mutational clustering while accounting for the complete folded protein quaternary structure. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-016-0963-3) contains supplementary material, which is available to authorized users. äLeveraging protein quaternary structure to identify oncogenic driver m(epmc).pdf DeepDyve Pubget Overpricing