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10.7554/eLife.25648 http://scihub22266oqcxt.onion/10.7554/eLife.25648 C5453696!5453696!28467302     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28467302&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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       eLife 2017 ; 6 (ä): ä Nephropedia Template TP {{tp|p=28467302|t=2017. Single-protein detection in crowded molecular environments in cryo-EM images |pdf=|usr=}}{{28467302}} gab.com Text Single-protein detection in crowded molecular environments in cryo-EM images JO: eLife http://www.kidney.de/pget.php?&tw=1&pmid=28467302 #FOAvip We present an approach to study macromolecular assemblies by detecting component proteins? characteristic high-resolution projection patterns, calculated from their known 3D structures, in single electron cryo-micrographs. Our method detects single apoferritin molecules in vitreous ice with high specificity and determines their orientation and location precisely. Simulations show that high spatial-frequency information and?in the presence of protein background?a whitening filter are essential for optimal detection, in particular for images taken far from focus. Experimentally, we could detect small viral RNA polymerase molecules, distributed randomly among binding locations, inside rotavirus particles. Based on the currently attainable image quality, we estimate a threshold for detection that is 150 kDa in ice and 300 kDa in 100 nm thick samples of dense biological material.DOI:http://dx.doi.org/10.7554/eLife.25648.001 Twit Text FOAVip Single-protein detection in crowded molecular environments in cryo-EM images ????eLife http://www.kidney.de/pget.php?&tw=1&pmid=28467302 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28467302 #FOAvip English Wikipedia <ref>{{Cite pmid|28467302}}</ref> Single-protein detection in crowded molecular environments in cryo-EM images #MMPMID28467302 Rickgauer JP; Grigorieff N; Denk W eLife 2017[]; 6 (ä): ä PMID28467302show ga We present an approach to study macromolecular assemblies by detecting component proteins? characteristic high-resolution projection patterns, calculated from their known 3D structures, in single electron cryo-micrographs. Our method detects single apoferritin molecules in vitreous ice with high specificity and determines their orientation and location precisely. Simulations show that high spatial-frequency information and?in the presence of protein background?a whitening filter are essential for optimal detection, in particular for images taken far from focus. Experimentally, we could detect small viral RNA polymerase molecules, distributed randomly among binding locations, inside rotavirus particles. Based on the currently attainable image quality, we estimate a threshold for detection that is 150 kDa in ice and 300 kDa in 100 nm thick samples of dense biological material.DOI:http://dx.doi.org/10.7554/eLife.25648.001 äSingle-protein detection in crowded molecular environments in cryo-EM (epmc).pdf DeepDyve Pubget Overpricing