LEADER 05208nam 22006614a 450 001 9910831065903321 005 20180718171455.0 010 $a1-280-55981-0 010 $a9786610559817 010 $a3-527-60343-3 010 $a3-527-61638-1 035 $a(CKB)1000000000375897 035 $a(EBL)481871 035 $a(SSID)ssj0000307218 035 $a(PQKBManifestationID)11263795 035 $a(PQKBTitleCode)TC0000307218 035 $a(PQKBWorkID)10243798 035 $a(PQKB)10124203 035 $a(MiAaPQ)EBC481871 035 $a(PPN)137629486 035 $a(OCoLC)85820730 035 $a(EXLCZ)991000000000375897 100 $a20060821d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aProtein synthesis and ribosome structure$b[electronic resource] $etranslating the genome /$fedited by Knud H. Nierhaus and Daniel N. Wilson 210 $aWeinheim $cWiley-VCH$dc2004 215 $a1 online resource (599 p.) 300 $aDescription based upon print version of record. 311 $a3-527-30638-2 320 $aIncludes bibliographical references and index. 327 $aProtein Synthesis and Ribosome Structure; Contents; Preface; 1 A History of Protein Biosynthesis and Ribosome Research; 1.1 Introduction; 1.2 The Archaeology of Protein Synthesis - The 1940s: Forgotten Paradigms; 1.3 Basic Mechanisms - The 1950s; 1.3.1 Steps toward an in vitro Protein Synthesis System; 1.3.2 Amino Acid Activation and the Emergence of Soluble RNA; 1.3.3 From Microsomes to Ribosomes; 1.3.4 Models; 1.4 The Golden Age of Translation - The 1960s; 1.4.1 From Enzymatic Adaptation to Gene Regulation: Messenger RNA 327 $a1.4.2 A Bacterial in vitro System of Protein Synthesis and the Cracking of the Genetic Code1.4.3 The Functional Dissection of Translation; 1.4.4 The Structural Dissection of the Ribosome; 1.5 1970-1990s: A Brief Synopsis; References; 2 Structure of the Ribosome; 2.1 General Features of the Ribosome and Ribosomal Subunits; 2.2 A Special Feature of the 50S Subunit: The Tunnel; 2.3 Features of the Ribosomal Subunits at Atomic Resolution; 2.4 The Domain Structure of the Ribosomal Subunits 327 $a2.5 Interactions of RNA with RNA or Struts and Bolts in the Three-dimensional Fold of rRNA: Coaxial Stacking and A-minor Motifs2.5.1 Coaxial Stacking; 2.5.2 A-minor Motifs; 2.5.3 Ribose Zippers and Patches of A-minor Motifs; 2.5.3.1 Canonical Ribose Zipper; 2.5.3.2 Single-base Ribose Zipper; 2.6 Progress and New Developments in Understanding rRNA Structures; 2.6.1 K-turn; 2.6.2 Lonepair Triloop; 2.6.2.1 Classification of Lonepair Triloops; 2.6.3 Systemizing Base Pairs; 2.6.4 Systemizing RNA Structural Elements; 2.7 RNA-protein Interactions; 2.7.1 Problem of RNA Recognition 327 $a2.7.2 Chemistry of RNA-protein Interactions2.7.3 rRNA-protein Interaction; References; 3 Ribosome Assembly; 3.1 Assembly Of The Prokaryotic Ribosome; 3.1.1 Introduction; 3.1.2 Processing of rRNAs; 3.1.3 Precursor Particles and Reconstitution Intermediates; 3.1.4 Assembly-initiator Proteins; 3.1.5 Proteins Essential for the Early Assembly: The Assembly Gradient; 3.1.6 Late-assembly Components; 3.1.7 Proteins Solely Involved in Assembly; 3.1.8 Assembly Maps; References; 3.2 Eukaryotic Ribosome Synthesis; 3.2.1 Introduction; 3.1.1 Prelude; 3.2.2 Why so many RRPs? 327 $a3.2.3 (Pre-)ribosome Assembly, the Proteomic Era3.2.4 Ribosomal RNA Processing, Getting there...; 3.2.5 Ribosomal RNA Modification: A Solved Issue?; 3.2.5.1 Ribose Methylation, Pseudouridines formation and the snoRNAs; 3.2.5.2 The Emergence of the snoRNAs; 3.2.5.3 Non-ribosomal RNA Substrates for the snoRNAs; 3.2.5.4 Possible function(s) of RNA modifications; 3.2.5.5 Base methylation; 3.2.5.6 U3 snoRNP, the 'SSU Processome', and the Central Pseudoknot; 3.2.6 SnoRNA Synthesis and Intranuclear Trafficking; 3.2.6.1 SnoRNAs Synthesis 327 $a3.2.6.2 Non-core snoRNP Proteins required for snoRNA Accumulation 330 $aKnud Nierhaus, who has studied the ribosome for more than 30 years, has assembled here the combined efforts of several scientific disciplines into a uniform picture of the largest enzyme complex found in living cells, finally resolving many decades-old questions in molecular biology.In so doing he considers virtually all aspects of ribosome structure and function -- from the molecular mechanism of different ribosomal ribozyme activities to their selective inhibition by antibiotics, from assembly of the core particle to the regulation of ribosome component synthesis. The result is a premier 606 $aRibosomes 606 $aRibosomes$xStructure 606 $aProteins$xSynthesis 615 0$aRibosomes. 615 0$aRibosomes$xStructure. 615 0$aProteins$xSynthesis. 676 $a571.658 676 $a572.645 701 $aNierhaus$b Knud H$01603756 701 $aWilson$b Daniel N$01603757 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831065903321 996 $aProtein synthesis and ribosome structure$93928285 997 $aUNINA LEADER 05093nam 22008295 450 001 9910484764303321 005 20250626163553.0 010 $a3-319-41827-0 024 7 $a10.1007/978-3-319-41827-8 035 $a(CKB)3710000000752766 035 $a(DE-He213)978-3-319-41827-8 035 $a(MiAaPQ)EBC6294771 035 $a(MiAaPQ)EBC5595429 035 $a(Au-PeEL)EBL5595429 035 $a(OCoLC)953990391 035 $a(PPN)194514994 035 $a(EXLCZ)993710000000752766 100 $a20160630d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Methods and Clinical Applications for Spine Imaging $eThird International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /$fedited by Toma? Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 159 p. 61 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9402 311 08$a3-319-41826-2 320 $aIncludes bibliographical references and index. 327 $aAutomated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength -- Automatic Modic Changes Classification in Spinal MRI -- Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery -- Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting -- Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering -- Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting -- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT -- Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation -- Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach -- Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-Atlas Based Registration -- Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor -- 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs -- Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours -- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework -- Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. . 330 $aThis book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 9 workshop papers and 6 challenge contributions were carefully reviewed and selected for inclusion in this volume. The papers cover all major aspects related to spine imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9402 606 $aComputer vision 606 $aPattern recognition systems 606 $aComputer graphics 606 $aArtificial intelligence 606 $aComputer simulation 606 $aAlgorithms 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aComputer Graphics 606 $aArtificial Intelligence 606 $aComputer Modelling 606 $aAlgorithms 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aComputer graphics. 615 0$aArtificial intelligence. 615 0$aComputer simulation. 615 0$aAlgorithms. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer Modelling. 615 24$aAlgorithms. 676 $a616.730754 702 $aVrtovec$b Toma?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYao$b Jianhua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGlocker$b Ben$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKlinder$b Tobias$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFrangi$b Alejandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZheng$b Guoyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Shuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484764303321 996 $aComputational Methods and Clinical Applications for Spine Imaging$91959956 997 $aUNINA