Protein and Peptide Folding, Misfolding, and Non-Folding
, by Schweitzer-Stenner, Reinhard; Uversky, VladimirNote: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9780470591697 | 0470591692
- Cover: Hardcover
- Copyright: 3/27/2012
This book provides an overview on what researchers have learned about unfolded peptides and how this knowledge facilitates the understanding of (a) the folding process, (b) the binding of ligands to receptor molecules and (c) peptide self-aggregation. In this context different experimental, theoretical and computational concepts and approaches are introduced. This book can become a very useful addition for graduate level courses on protein folding for the education of undergraduate and graduate students in research groups, which are exploring peptide self-aggregation for biomedical and biotechnological purposes.
Reinhard Schweitzer-Stenner, PhD, is Professor and currently the Head of the Chemistry Department at Drexel University. Dr. Schweitzer-Stenner also heads the biospectroscopy research group. His research investigates peptide structure and functionally relevant heme distortions as well as ligand-receptor binding on the surface of mast cells. With more than 150 published research articles, Dr. Schweitzer-Stenner is widely recognized as a leader and pioneer in the study of the conformational properties of unfolded peptides.
Introduction to the Wiley Series on Protein and Peptide Science | p. xiii |
Preface | p. xv |
Contributors | p. xix |
Introduction | p. 1 |
Why Are We Interested in the Unfolded Peptides and Proteins? | p. 3 |
Introduction | p. 3 |
Why Study IDPs? | p. 4 |
Lesson 1: Disorderedness Is Encoded in the Amino Acid Sequence and Can Be Predicted | p. 5 |
Lesson 2: Disordered Proteins Are Highly Abundant in Nature | p. 7 |
Lesson 3: Disordered Proteins Are Globally Heterogeneous | p. 9 |
Lesson 4: Hydrodynamic Dimensions of Natively Unfolded Proteins Are Charge Dependent | p. 14 |
Lesson 5: Polymer Physics Explains Hydrodynamic Behavior of Disordered Proteins | p. 16 |
Lesson 6: Natively Unfolded Proteins Are Pliable and Very Sensitive to Their Environment | p. 18 |
Lesson 7: When Bound, Natively Unfolded Proteins Can Gain Unusual Structures | p. 20 |
Lesson 8: IDPs Can Form Disordered or Fuzzy Complexes | p. 25 |
Lesson 9: Intrinsic Disorder Is Crucial for Recognition, Regulation, and Signaling | p. 25 |
Lesson 10: Protein Posttranslational Modifications Occur at Disordered Regions | p. 28 |
Lesson 11: Disordered Regions Are Primary Targets for AS | p. 30 |
Lesson 12: Disordered Proteins Are Tightly Regulated in the Living Cells | p. 31 |
Lesson 13: Natively Unfolded Proteins Are Frequently Associated with Human Diseases | p. 33 |
Lesson 14: Natively Unfolded Proteins Are Attractive Drug Targets | p. 35 |
Lesson 15: Bright Future of Fuzzy Proteins | p. 38 |
Acknowledgments | p. 39 |
References | p. 40 |
Conformational Analysis of Unfolded States | p. 55 |
Exploring the Energy Landscape of Small Peptides and Proteins by Molecular Dynamics Simulations | p. 57 |
Introduction: Free Energy Landscapes and How to Construct Them | p. 57 |
Dihedral Angle PCA Allows Us to Separate Internal and Global Motion | p. 61 |
Dimensionality of the Free Energy Landscape | p. 62 |
Characterization of the Free Energy Landscape: States, Barriers, and Transitions | p. 65 |
Low-Dimensional Simulation of Biomolecular Dynamics to Catch Slow and Rare Processes | p. 67 |
PCA by Parts: The Folding Pathways of Villin Headpiece | p. 69 |
The Energy Landscape of Aggregating Aß-Peptides | p. 73 |
Concluding Remarks | p. 74 |
Acknowledgments | p. 75 |
References | p. 75 |
Local Backbone Preferences and Nearest-Neighbor Effects in the Unfolded and Native States | p. 79 |
Introduction | p. 79 |
Early Days: Random Coil-Theory and Experiment | p. 80 |
Denatured Proteins as Self-Avoiding Random Coils | p. 82 |
Modeling the Unfolded State | p. 82 |
NN Effects in Protein Structure Prediction | p. 86 |
Utilizing Folding Pathways for Structure Prediction | p. 87 |
Native State Modeling | p. 88 |
Secondary-Structure Propensities: Native Backbones in Unfolded Proteins | p. 92 |
Conclusions | p. 92 |
Acknowledgments | p. 93 |
References | p. 94 |
Short-Distance FRET Applied to the Polypeptide Chain | p. 99 |
A Short Timeline of Resonance Energy Transfer Applied to the Polypeptide Chain | p. 99 |
A Short Theory of FRET Applied to the Polypeptide Chain | p. 101 |
DBO and Dbo | p. 105 |
Short-Distance FRET Applied to the Structured Polypeptide Chain | p. 107 |
Short-Distance FRET to Monitor Chain-Structural Transitions upon Phosphorylation | p. 116 |
Short-Distance FRET Applied to the Structureless Chain | p. 120 |
The Future of Short-Distance FRET | p. 125 |
Acknowledgments | p. 125 |
Dedication | p. 126 |
References | p. 126 |
Solvation and Electrostatics as Determinants of Local Structural Order in Unfolded Peptides and Proteins | p. 131 |
Local Structural Order in Unfolded Peptides and Proteins | p. 131 |
ESM | p. 134 |
The ESM and Strand-Coil Transition Model | p. 137 |
The ESM and Backbone Conformational Preferences | p. 138 |
The Nearest-Neighbor Effect | p. 141 |
The ESM and Cooperative Local Structures-Fluctuating ß-Strands | p. 141 |
The ESM and ß-Sheet Preferences in Native Proteins- Significance of Unfolded State | p. 144 |
The ESM and Secondary Chemical Shifts of Polypeptides | p. 145 |
Role of Backbone Solvation in Determining Hydrogen Exchange Rates of Unfolded Polypeptides | p. 148 |
Other Theoretical Models of Unfolded Polypeptides, 148 Acknowledgments | p. 149 |
References | p. 149 |
Experimental and Computational Studies of Polyproline II Propensity | p. 159 |
Introduction | p. 159 |
Experimental Measurement of PII Propensities | p. 161 |
Computational Studies of Denatured State Conformational Propensities | p. 168 |
A Steric Model Reveals Common PII Propensity of the Peptide Backbone | p. 172 |
Correlation of PII Propensity to Amino Acid Properties | p. 175 |
Summary | p. 180 |
Acknowledgments | p. 180 |
References | p. 180 |
Mapping Conformational Dynamics in Unfolded Polypeptide Chains Using Short Model Peptides by NMR Spectroscopy | p. 187 |
Introduction | p. 187 |
General Aspects of NMR Spectroscopy | p. 189 |
NMR Parameters and Their Measurement | p. 191 |
Translating NMR Parameters to Structural Information | p. 202 |
Conclusions | p. 213 |
Acknowledgments | p. 215 |
References | p. 215 |
Secondary Structure and Dynamics of a Family of Disordered Proteins | p. 221 |
Introduction | p. 221 |
Materials and Methods | p. 223 |
Results and Discussion | p. 226 |
Acknowledgments | p. 235 |
References | p. 235 |
Disordered Peptides and Molecular Recognition | p. 239 |
Binding Promiscuity of Unfolded Peptides | p. 241 |
Protein-Protein Interaction Networks | p. 241 |
Role of Intrinsic Disorder in PPI Networks | p. 242 |
Transient Structural Elements in Protein-Based Recognition | p. 243 |
Chameleons and Adaptors: Binding Promiscuity of Unfolded Peptides | p. 256 |
Principles of Using the Unfolded Protein Regions for Binding | p. 262 |
Conclusions | p. 266 |
Acknowledgments | p. 266 |
References | p. 266 |
Intrinsic Flexibility of Nucleic Acid Chaperone Proteins from Pathogenic RNA Viruses | p. 279 |
Introduction | p. 279 |
Retroviruses and Retroviral Nucleocapsid Proteins | p. 280 |
Core Proteins in the Flaviviridae Family of Viruses | p. 288 |
Coronavirus Nucleocapsid Protein | p. 290 |
Hantavirus Nucleocapsid Protein | p. 291 |
Acknowledgments | p. 293 |
References | p. 293 |
Aggregation of Disordered Peptides | p. 307 |
Self-Assembling Alanine-Rich Peptides of Biomedical and Biotechnological Relevance | p. 309 |
Biomolecular Self-Assembly | p. 309 |
Misfolding and Human Disease | p. 310 |
Exploitation of Peptide Self-Assembly for Biotechnological Applications | p. 326 |
Concluding Remarks | p. 340 |
Acknowledgments | p. 340 |
References | p. 340 |
Structural Elements Regulating Interactions in the Early Stages of Fibrillogenesis: A Human Calcitonin Model System | p. 351 |
Stating the Problem | p. 351 |
Aggregation Models: The State of The Art | p. 354 |
Human Calcitonin hCT as a Model System for Self-Assembly | p. 356 |
The "Prefibrillar" State of hCT | p. 358 |
How Many Molecules for the Critical Nucleus? | p. 361 |
Modeling Prefibrillar Aggregates | p. 366 |
hCT Helical Oligomers | p. 366 |
The Role of Aromatic Residues in the Early Stages of Amyloid Formation | p. 372 |
The Folding of hCT before Aggregation | p. 373 |
Model Explains the Differences in Aggregation Properties between hCT and sCT | p. 374 |
hCT Fibril Maturation | p. 375 |
¿-Helix →ß-Sheet Conformational Transition and hCT Fibrillation | p. 377 |
Concluding Remarks | p. 378 |
Acknowledgments | p. 378 |
References | p. 379 |
Solution NMR Studies of Aß Monomers and Oligomers | p. 389 |
Introduction | p. 389 |
Overexpression and Purification of Recombinant Aß | p. 390 |
Aß Monomers | p. 393 |
Aß Oligomers and Monomer-Oligomer Interaction | p. 403 |
Conclusion | p. 406 |
References | p. 406 |
Thermodynamic and Kinetic Models for Aggregation of Intrinsically Disordered Proteins | p. 413 |
Introduction | p. 413 |
Thermodynamics of Protein Aggregation-the Phase Diagram Approach | p. 415 |
Thermodynamics of IDP Aggregation (Phase Separation)- MPM Description | p. 420 |
Kinetics of Homogeneous Nucleation and Elongation Using MPMs | p. 425 |
Concepts from Colloidal Science | p. 427 |
Conclusions | p. 433 |
Acknowledgments | p. 433 |
References | p. 434 |
Modifiers of Protein Aggregation-From Nonspecific to Specific Interactions | p. 441 |
Introduction | p. 441 |
Nonspecific Modifiers | p. 442 |
Specific Modifiers | p. 454 |
Acknowledgments | p. 465 |
References | p. 466 |
Computational Studies of Folding and Assembly of Amyloidogenic Proteins | p. 479 |
Introduction | p. 479 |
Amyloids | p. 480 |
Computer Simulations | p. 485 |
Summary | p. 514 |
References | p. 515 |
Index | p. 529 |
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