Contributors |
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xi | |
Preface |
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xv | |
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1 Data quality assurance, model validation, and data sharing for biomolecular structures from small-angle scattering |
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1 | (22) |
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1 Becoming a mainstream structural biology technique |
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2 | (2) |
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2 The path to standards and data sharing |
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4 | (4) |
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3 Draft publication guidelines and plans for data archiving |
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8 | (3) |
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4 A data archive for SAS as part of a federated system for integrative structural biology |
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11 | (1) |
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5 The current publication guidelines and data archiving requirements |
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11 | (4) |
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6 Quantifying data reproducibility and establishing a consensus experimental benchmark data set |
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15 | (1) |
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16 | (1) |
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17 | (6) |
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17 | (1) |
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17 | (6) |
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2 Structure and ensemble refinement against SAXS data: Combining MD simulations with Bayesian inference or with the maximum entropy principle |
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23 | (32) |
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24 | (3) |
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2 SAXS-driven molecular dynamics simulations |
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27 | (10) |
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3 SAXS-driven MD as a tool for Bayesian inference of molecular structures |
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37 | (4) |
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4 Maximum-entropy ensemble refinement against SAXS data |
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41 | (7) |
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5 Discussion: Conceptual considerations and recommendations |
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48 | (1) |
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49 | (1) |
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50 | (5) |
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51 | (1) |
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51 | (4) |
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3 Data analysis and modeling of small-angle neutron scattering data with contrast variation from bio-macromolecular complexes |
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55 | (42) |
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56 | (3) |
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2 Analysis of the forward scattering intensity, 1(0), and calculation of contrast |
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59 | (8) |
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3 Analysis of the radius of gyration |
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67 | (7) |
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4 Composite scattering functions |
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74 | (4) |
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5 Dummy-atom (bead) modeling against contrast variation data |
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78 | (7) |
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6 Rigid body modeling against contrast variation data |
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85 | (6) |
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91 | (6) |
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92 | (1) |
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92 | (5) |
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4 Observing protein degradation in solution by the PAN-20S proteasome complex: Astate-of-the-art example of bio-macromolecular TR-SANS |
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97 | (24) |
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1 The interest of TR-SANS for dynamic bio-macromolecular systems |
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98 | (1) |
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2 Specific protein degradation in biological cells |
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99 | (4) |
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3 A concrete example of bio-macromolecular TR-SANS: Insight into structural dynamics of substrate processing by the archaeal PAN-proteasome system |
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103 | (1) |
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4 Sample conditions, instrumental setup and data reduction |
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104 | (2) |
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5 Experimental TR-SANS results and mechanistic model of protein degradation |
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106 | (9) |
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6 Conclusions and outlook |
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115 | (6) |
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117 | (1) |
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117 | (4) |
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5 Extracting structural insights from soft X-ray scattering of biological assemblies |
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121 | (24) |
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122 | (2) |
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2 Predicting RSoXS scattering contrast from NEXAFS spectra |
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124 | (5) |
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3 Reduction of RSoXS 2D data into 1D |
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129 | (3) |
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4 Interpretation of scattering data |
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132 | (4) |
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5 Identification of the real-space structure that leads to an observed scattering profile |
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136 | (2) |
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6 Opportunities for application of new RSoXS analysis approaches to biological assemblies |
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138 | (1) |
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139 | (6) |
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140 | (1) |
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140 | (5) |
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6 Reconstruction of 3D density from solution scattering |
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145 | (48) |
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146 | (2) |
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148 | (10) |
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158 | (1) |
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4 Preparing the data with denss.fit_data.py |
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159 | (3) |
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5 Running a single reconstruction with denss.py |
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162 | (11) |
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6 Alignment and averaging |
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173 | (5) |
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7 Analysis and interpretation of results |
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178 | (4) |
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182 | (2) |
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9 Materials science applications |
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184 | (1) |
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10 Publication guidelines and SASBDB deposition |
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184 | (2) |
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186 | (7) |
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187 | (1) |
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187 | (1) |
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187 | (6) |
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7 Computational methods for the analysis of solution small-angle X-ray scattering of biomolecules: ATSAS |
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193 | (44) |
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194 | (2) |
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2 Calculation and simulation of scattering data |
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196 | (9) |
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3 Primary data processing |
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205 | (8) |
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4 Structural modeling from SAXS data |
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213 | (18) |
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231 | (6) |
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231 | (6) |
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8 Multi-state modeling of antibody-antigen complexes with SAXS profiles and deep-learning models |
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237 | (26) |
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238 | (3) |
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241 | (7) |
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248 | (7) |
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255 | (1) |
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256 | (7) |
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256 | (1) |
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257 | (6) |
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9 Combining NMR, SAXS and SANS to characterize the structure and dynamics of protein complexes |
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263 | (36) |
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Santiago Marti'nez-Lumbreras |
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264 | (2) |
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266 | (3) |
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269 | (6) |
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4 Small angle X-ray and neutron scattering (SAXS/SANS) |
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275 | (4) |
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5 Integration of NMR and SAS |
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279 | (9) |
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6 Conclusions and future perspectives |
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288 | (11) |
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290 | (1) |
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290 | (9) |
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10 From dilute to concentrated solutions of intrinsically disordered proteins: Interpretation and analysis of collected data |
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299 | (32) |
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300 | (3) |
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2 How to tell if a protein is an IDP? |
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303 | (2) |
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3 The conformational ensemble |
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305 | (6) |
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4 Ensemble optimization methods |
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311 | (3) |
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5 Special considerations for crowded IDP solutions |
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314 | (2) |
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6 Beyond analytical models |
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316 | (5) |
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7 General notes on the treatment of hydration layers of IDPs |
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321 | (2) |
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8 Summary and conclusions |
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323 | (8) |
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324 | (1) |
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324 | (7) |
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11 Applying HT-SAXS to chemical ligand screening |
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331 | (20) |
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332 | (1) |
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2 Considerations for SAXS target and library selection |
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333 | (4) |
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3 HT-SAXS sample preparation |
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337 | (1) |
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4 Benchmarking a pilot HT-SAXS screen |
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337 | (1) |
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5 Ligand screen design and assembly |
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338 | (4) |
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6 Analysis of HT-SAXS screening datasets |
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342 | (4) |
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7 Summary and future perspectives |
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346 | (5) |
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Simple Scattering deposition |
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347 | (1) |
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347 | (1) |
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348 | (3) |
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12 Combining small angle X-ray scattering (SAXS) with protein structure predictions to characterize conformations in solution |
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351 | (26) |
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352 | (5) |
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2 Obtaining a protein structure prediction |
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357 | (3) |
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3 Prediction of SAXS curve from an atomic model |
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360 | (2) |
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4 Comparison of experimental and predicted SAXS curves |
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362 | (2) |
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5 Fitting of the protein structure prediction(s) to the experimental SAXS data |
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364 | (3) |
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6 Example: XRCC1 solution state |
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367 | (2) |
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369 | (1) |
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8 Summary and conclusions |
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370 | (7) |
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372 | (1) |
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372 | (5) |
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13 Protein fibrillation from another small angle--SAXS data analysis of developing systems |
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377 | (34) |
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378 | (5) |
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383 | (1) |
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3 Essential check of SAXS data from fibrillating systems |
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383 | (3) |
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4 Initial analysis of the background subtracted data |
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386 | (4) |
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5 Decomposition of data--Manual approach |
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390 | (5) |
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6 Decomposition of developing data using COSMiCS |
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395 | (4) |
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399 | (5) |
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404 | (1) |
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9 Summary and conclusions |
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405 | (6) |
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406 | (1) |
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406 | (5) |
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14 Visualizing and accessing correlated SAXS data sets with Similarity Maps and Simple Scattering web resources |
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411 | |
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412 | (4) |
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2 Visualization of correlated SAXS data |
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416 | (14) |
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3 Simple Scattering data set repository |
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430 | (7) |
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437 | |
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438 | (1) |
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438 | |