Phasing in crystallography a modern perspective

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1. Verfasser: Giacovazzo, Carmelo (VerfasserIn)
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Veröffentlicht: Oxford Oxford Univ. Press 2014
Ausgabe:1. ed.
Schriftenreihe:IUCr texts on crystallography 20
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Datensatz im Suchindex

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adam_text Contents Symbols and notation xvii 1 Fundamentals of crystallography ι 1.1 Introduction 1 1.2 Crystals and crystallographic symmetry in direct space 1 1.3 The reciprocal space 5 1.4 The structure factor 11 1.5 Symmetry in reciprocal space 12 1.5.1 Friedel law 12 1.5.2 Effects of symmetry operators in reciprocal space 12 1.5.3 Determination of reflections with restricted phase values 13 1.5.4 Systematic absences 15 1.6 The basic postulate of structural crystallography 17 1.7 The legacy of crystallography 24 2 Wilson statistics 27 2.1 Introduction 27 2.2 Statistics of the structure factor: general considerations 28 2.3 Structure factor statistics in PI and P 29 2.4 The P{z) distributions 35 2.5 Cumulative distributions 35 2.6 Space group identification 36 2.7 The centric or acentric nature of crystals: Wilson statistical analysis 42 2.8 Absolute scaling of intensities: the Wilson plot 43 2.9 Shape of the Wilson plot 47 2.10 Unit cell content 49 Appendix 2.A Statistical calculations in PI and ΡΪ 50 2. A.I Structure factor statistics in PI 50 2.A.2 Structure factor statistics in ΡΪ 52 Appendix 2.B Statistical calculations in any space group 53 2.B. 1 The algebraic form of the structure factor 53 2.B.2 Structure factor statistics for centric and acentric space groups 55 Appendix 2.C The Debye formula 58 3 The origin problem, invariants, and seminvariants 60 3.1 Introduction 60 3.2 Origin, phases, and symmetry operators 61 xii Contents 3.3 The concept of structure invariant 63 3.4 Allowed or permissible origins in primitive space groups 65 3.5 The concept of structure seminvariant 69 3.6 Allowed or permissible origins in centred cells 76 3.7 Origin definition by phase assignment 81 4 The method of joint probability distribution functions, neighbourhoods, and representations 83 4.1 Introduction 83 4.2 Neighbourhoods and representations 87 4.3 Representations of structure seminvariants 89 4.4 Representation theory for structure invariants extended to isomorphous data 91 Appendix 4.A The method of structure factor joint probability distribution functions 93 4. A. I Introduction 93 4. A. 2 Multivariate distributions in centrosymmetric structures: the case of independent random variables 94 4.A.3 Multivariate distributions in non-centrosymmetric structures: the case of independent random variables 97 4.A.4 Simplified joint probability density functions in the absence of prior information 99 4.A.5 The joint probability density function when some prior information is available 102 4.A.6 The calculation of P(E) in the absence of prior information 103 5 The probabilistic estimation of triplet and quartet invariants 104 5.1 Introduction 104 5.2 Estimation of the triplet structure invariant via its first representation: the PI and the PÏ case 104 5.3 About triplet invariant reliability 108 5.4 The estimation of triplet phases via their second representation 110 5.5 Introduction to quartets 112 5.6 The estimation of quartet invariants in PI and PÏ via their first representation: Hauptman approach 112 5.7 The estimation of quartet invariants in PI and PI via their first representation: Giacovazzo approach 115 5.8 About quartet reliability 116 Appendix 5.A The probabilistic estimation of the triplet invariants in PI 117 Appendix 5.B Symmetry inconsistent triplets 120 Appendix 5.C The / m formula 121 Appendix 5.D The use of symmetry in quartet estimation 123 Contents xiii ó Traditional direct phasing procedures 125 6.1 Introduction 125 6.2 The tangent formula 128 6.3 Procedure for phase determination via traditional direct methods 130 6.3.1 Set-up of phase relationships 131 6.3.2 Assignment of starting phases 134 6.3.3 Phase determination 136 6.3.4 Finding the correct solution 137 6.3.5 Е -map interpretation 138 6.3.6 Phase extension and refinement: reciprocal space techniques 140 6.3.7 The limits of the tangent formula 141 6,4 Third generation direct methods programs 144 6.4.1 The shake and bake approach 144 6.4.2 The half-bake approach 147 6.4.3 The SIR2000-N approach 148 Appendix 6.A Finding quartets 149 Joint probability distribution functions when a model is available: Fourier syntheses 151 7.1 Introduction 151 7.2 Estimation of the two-phase structure invariant (0h - φρίί) 152 7.3 Electron density maps 155 7.3.1 The ideal Fourier synthesis and its properties 156 7.3.2 The observed Fourier synthesis 162 7.3.3 The difference Fourier synthesis 164 7.3.4 Hybrid Fourier syntheses 166 7.4 Variance and covariance for electron density maps 168 7.5 Triplet phase estimate when a model is available 170 Appendix 7.A Estimation of <тд 173 Appendix 7.B Variance and covariance expressions for electron density maps 174 Appendix 7.C Some marginal and conditional probabilities of Ρ^,Κρ,φ,φρ) 176 8 Phase improvement and extension 177 8.1 Introduction 177 8.2 Phase extension and refinement via direct space procedures: EDM techniques 177 8.3 Automatic model building 184 8.4 Applications 188 Appendix 8.A Solvent content, envelope definition, and solvent modelling 190 8.A.1 Solvent content according to Matthews 190 8.A.2 Envelope definition 191 8.A.3 Models for the bulk solvent 192 Appendix 8.B Histogram matching 193 Appendix 8.C A brief outline of the ARPIwARP procedure 196 xiv Contents 9 Charge flipping and VLD [vive /a différence) 198 9.1 Introduction 198 9.2 The charge flipping algorithm 199 9.3 The VLŰ phasing method 201 9.3.1 The algorithm 201 9.3.2 VLD and hybrid Fourier syntheses 205 9.3.3 VLD applications to ab initio phasing 205 Appendix 9.A About VLD joint probability distributions 206 9.A. 1 The VLD algorithm based on difference Fourier synthesis 206 9.A. 2 The VLD algorithm based on hybrid Fourier syntheses 211 Appendix 9.B The RELAX algorithm 212 10 Patterson methods and direct space properties 214 10.1 Introduction 214 10.2 The Patterson function 215 10.2.1 Mathematical background 215 10.2.2 About interatomic vectors 216 10.2.3 About Patterson symmetry 217 10.3 Deconvolution of Patterson functions 218 10.3.1 The traditional heavy-atom method 219 10.3.2 Heavy-atom search by translation functions 220 10.3.3 The method of implication transformations 221 10.3.4 Patterson superposition methods 223 10.3.5 The С -map and superposition methods 225 10.4 Applications of Patterson techniques 227 Appendix 10.A Electron density and phase relationships 230 Appendix 10.B Patterson features and phase relationships 232 11 Phasing via electron and neutron diffraction data 234 1 1.1 Introduction 234 1 1 .2 Electron scattering 235 11.3 Electron diffraction amplitudes 236 1 1 .4 Non-kinematical character of electron diffraction amplitudes 237 11.5 A traditional experimental procedure for electron diffraction studies 239 1 1 .6 Electron microscopy, image processing, and phasing methods 241 11.7 New experimental approaches: precession and rotation cameras 244 11.8 Neutron scattering 245 11.9 Violation of the positivity postulate 247 Appendix 11.A About the elastic scattering of electrons: the kinematical approximation 249 12 Phasing methods for powder data 252 12.1 Introduction 252 12.2 About the diffraction pattern: peak overlapping 253 Contents xv 12.3 Modelling the diffraction pattern 258 12.4 Recovering Fhki 2 from powder patterns 260 12.5 The amount of information in a powder diagram 263 12.6 Indexing of diffraction patterns 264 12.7 Space group identification 266 12.8 Ab initio phasing methods 267 12.9 Non-ab initio phasing methods 270 |НН ndix 12.A Minimizine texture effects 272 13 Molecular replacement 275 13.1 Introduction 275 13.2 About the search model 277 13.3 About the six-dimensional search 279 13.4 The algebraic bases of vector search techniques 280 13.5 Rotation functions 282 13.6 Practical aspects of the rotation function 284 13.7 The translation functions 286 13.8 About stochastic approaches to MR 289 13.9 Combining MR with trivial prior information: the ARCMBOLDO approach 289 13.10 Applications 291 Appendix 13.A Calculation of the rotation function in orthogonalized crystal axes 294 I3.A.1 The orthogonalization matrix 294 13. A. 2 Rotation in Cartesian space 295 13.A.3 Conversion to fractional coordinates 297 13.A.4 Symmetry and the rotation function 299 Appendix 13.B Non-crystallographic symmetry 304 13.B.1 NCS symmetry operators 304 13.B.2 Finding NCS operators 305 13.B.3 The translational NCS 308 Appendix 13.C Algebraic forms for the rotation and translation functions 311 14 Isomorphous replacement techniques 314 14.1 Introduction 314 14.2 Protein soaking and co-crystallization 315 14.3 The algebraic bases of SIR techniques 317 14.4 The algebraic bases of MIR techniques 320 14.5 Scaling of experimental data 322 14.6 The probabilistic approach for the SIR case 323 14.7 The probabilistic approach for the MIR case 327 14.8 Applications 329 Appendix 14.A The SIR case for centric reflections 330 Appendix 14.B The SIR case: the one-step procedure 331 Appendix 14.C About methods for estimating the scattering power of the heavy-atom substructure 333 xvi Contents 15 Anomalous dispersion techniques 335 15.1 Introduction 335 15.2 Violation of the Friedel law as basis of the phasing method 337 15.3 Selection of dispersive atoms and wavelengths 340 15.4 Phasing via SAD techniques: the algebraic approach 344 15.5 The SIRAS algebraic bases 347 15.6 The MAD algebraic bases 352 15.7 The probabilistic approach for the SAD-MAD case 354 15.8 The probabilistic approach for the SIRAS-MIRAS case 360 15.9 Anomalous dispersion and powder crystallography 363 15.10 Applications 364 Appendix 15.A A probabilistic formula for the SAD case 365 Appendix 15.B Structure refinement for MAD data 366 Appendix 15.C About protein phase estimation in the SIRAS case 368 Appendices 370 Appendix M.A Some basic results in probability theory 370 M.A.I Probability distribution functions 370 M.A. 2 Moments of a distribution 371 M.A.3 The characteristic function 371 M.A.4 Cumulants of a distribution 373 M.A. 5 The normal or Gaussian distribution 374 M.A.6 The central limit theorem 375 M.A.7 Multivariate distributions 375 M.A.8 Evaluation of the moments in structure factor distributions 377 M.A.9 Joint probability distributions of the signs of the structure factors 379 M.A. 10 Some measures of location and dispersion in the statistics of directional data 380 Appendix M.B Moments of the P(Z) distributions 382 Appendix M.C The gamma function 382 Appendix M.D The Hermite and Laguerre polynomials 383 Appendix M.E Some results in the theory of Bessel functions 385 M.E, 1 Bessel functions 385 M.E.2 Generalized hypergeometric functions 389 Appendix M.F Some definite integrals and formulas of frequent application 390 References 394 Index 412 Modern crystallographic methods originate from the synergy of two main research streams, the small-molecule and the macromolecular streams. The first stream was able to definitively solve the phase problem for molecules up to 200 atoms in the asymmetric unit. The achievements obtained by rhc macromolecular stream arc also impressive. A huge number of protein structures have been deposited in the Protein Data Hank. The solution of them is no longer reserved to an elite group of scientists, but may be attained in a large number of laboratories around the world, even by young scientists. The synergy of the two research streams has allowed the tailoring of new probabilistic approaches to deal with larger structures, errors in the experimental data, and modest data resolution. Traditional phasing techniques like ab tnitio, molecular replacement, isomorphous replacement, лт anomalous dispersion techniques have been revisited. The new approaches have been implemented in robust phasing programs, which have been organized in automatic pipelines usable even by non-experts. Protein structures, which 50 years ago could take months or even years to solve, can now be solved in a matter of hours, partly also due to technological adv anees in computer science. This book describes all modern crystallographic phasing methods, and introduces a new rational classification of them. A didactic approach is used, with the techniques described simply and logically in the main text, and further mathematical details confined to the Appendices for motivated readers. Numerous figures and applicative details illustrate the text. Carmelo Giacovazzo is Professor of Crystallography at Rari University, Italy, and Associate of Istituto di Cristallografia, CNR, Bari. This textbook of basic to advanced material is by one of the foremost experts on phasing methods in crystallography. Joint winner of the IUCr201 1 Ewald Medal and Prize, ( ármelo Giacovazzo presents a coherent synthesis of mathematical methods for crystal structures of all molecule sizes as well as current practice in the discipline, The author describes what works today, within a helpful historical context, making it a book for our time. John R. Helliwell, University of Manchester Active researchers will rind the book extremely useful in order to understand the historical develop¬ ments, advantages, лпа limitations of the conceptually different methods for crystallographic phasing. Newcomers and students w ill find it a clarifying introduction and overview of the tools and trends available in modern crystallographic research. There is no doubt that the volume will soon be another landmark text in the world of crystallography/ Gilberto Artioli, University of Padova Cover image: The central part of the figure shows л molecular organic fragment .is part ofa crystal structure, overlapping ith л second figure representing ι m w hite ■ an X-ray beam producing ,i single crystal diffraction pattern. Emage created by (curado ( oiocci. ISBN 978-0-19-968699-5 UNIVERSITY PRESS www.oup.com 780199 686995
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Phasing in crystallography a modern perspective Carmelo Giacovazzo
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XVI, 414 S. Ill., graph. Darst.
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Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026122621&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
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spellingShingle Giacovazzo, Carmelo
Phasing in crystallography a modern perspective
IUCr texts on crystallography
Kristallstrukturanalyse (DE-588)4137204-9 gnd
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Phasenproblem (DE-588)4503793-0 gnd
subject_GND (DE-588)4137204-9
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title Phasing in crystallography a modern perspective
title_auth Phasing in crystallography a modern perspective
title_exact_search Phasing in crystallography a modern perspective
title_full Phasing in crystallography a modern perspective Carmelo Giacovazzo
title_fullStr Phasing in crystallography a modern perspective Carmelo Giacovazzo
title_full_unstemmed Phasing in crystallography a modern perspective Carmelo Giacovazzo
title_short Phasing in crystallography
title_sort phasing in crystallography a modern perspective
title_sub a modern perspective
topic Kristallstrukturanalyse (DE-588)4137204-9 gnd
Kristallographie (DE-588)4033217-2 gnd
Phasenproblem (DE-588)4503793-0 gnd
topic_facet Kristallstrukturanalyse
Kristallographie
Phasenproblem
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