Cambridge University Press
052162441X - Molecular and Cellular Biophysics - by Meyer B. Jackson
Frontmatter/Prelims
Molecular and Cellular Biophysics
This book provides advanced undergraduate and beginning graduate students with a foundation in the basic concepts of molecular and cellular biophysics. Students who have taken physical chemistry and calculus courses will find this book an accessible and valuable aid in learning how these concepts can be used in biological research. The text provides a rigorous treatment of the fundamental theories in biophysics and illustrates their application with examples. Conformational transitions of proteins are studied first using thermodynamics, and subsequently with kinetics. Allosteric theory is developed as the synthesis of conformational transitions and association reactions. Basic ideas of thermodynamics and kinetics are applied to topics such as protein folding, enzyme catalysis and ion channel permeation. These concepts are then used as the building blocks in a treatment of membrane excitability. Through these examples, students will gain an understanding of the general importance and broad applicability of biophysical principles to biological problems.
Meyer B. Jackson is the Kenneth Cole Professor of Physiology at the University of Wisconsin Medical School. He has been teaching graduate level biophysics for nearly 25 years.
Molecular and Cellular Biophysics
Meyer B. Jackson
University of Wisconsin Medical School
CAMBRIDGE UNIVERSITY PRESS
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© Cambridge University Press 2006
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First published 2006
Printed in the United Kingdom at the University Press, Cambridge
A catalogue record for this publication is available from the British Library
ISBN-13 978-0-521-62441-1 hardback
ISBN-10 0-521-62441-X hardback
ISBN-13 978-0-521-62470-1 paperback
ISBN-10 0-521-62470-3 paperback
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Contents
| Preface | page xii | ||
| Acknowledgements | xiv | ||
| Chapter 1 Global transitions in proteins | 1 | ||
| 1.1 | Defining a global state | 2 | |
| 1.2 | Equilibrium between two global states | 4 | |
| 1.3 | Global transitions induced by temperature | 5 | |
| 1.4 | Lysozyme unfolding | 7 | |
| 1.5 | Steepness and enthalpy | 9 | |
| 1.6 | Cooperativity and thermal transitions | 11 | |
| 1.7 | Transitions induced by other variables | 12 | |
| 1.8 | Transitions induced by voltage | 14 | |
| 1.9 | The voltage sensor of voltage-gated channels | 17 | |
| 1.10 | Gating current | 18 | |
| 1.11 | Cooperativity and voltage-induced transitions | 19 | |
| 1.12 | Compliance of a global state | 21 | |
| Chapter 2 Molecular forces in biological structures | 25 | ||
| 2.1 | The Coulomb potential | 25 | |
| 2.2 | Electrostatic self-energy | 27 | |
| 2.3 | Image forces | 29 | |
| 2.4 | Charge–dipole interactions | 31 | |
| 2.5 | Induced dipoles | 32 | |
| 2.6 | Cation–π interactions | 33 | |
| 2.7 | Dispersion forces | 35 | |
| 2.8 | Hydrophobic forces | 36 | |
| 2.9 | Hydration forces | 39 | |
| 2.10 | Hydrogen bonds | 39 | |
| 2.11 | Steric repulsions | 43 | |
| 2.12 | Bond flexing and harmonic potentials | 44 | |
| 2.13 | Stabilizing forces in proteins | 46 | |
| 2.14 | Protein force fields | 50 | |
| 2.15 | Stabilizing forces in nucleic acids | 52 | |
| 2.16 | Lipid bilayers and membrane proteins | 53 | |
| Chapter 3 Conformations of macromolecules | 56 | ||
| 3.1 | n-Butane | 56 | |
| 3.2 | Configurational partition functions and polymer chains | 58 | |
| 3.3 | Statistics of random coils | 60 | |
| 3.4 | Effective segment length | 62 | |
| 3.5 | Nonideal polymer chains and theta solvents | 63 | |
| 3.6 | Probability distributions | 65 | |
| 3.7 | Loop formation | 66 | |
| 3.8 | Stretching a random coil | 67 | |
| 3.9 | When do molecules act like random coils? | 68 | |
| 3.10 | Backbone rotations in proteins: secondary structure | 68 | |
| 3.11 | The entropy of protein denaturation | 71 | |
| 3.12 | The helix–coil transition | 73 | |
| 3.13 | Mathematical analysis of the helix–coil transition | 74 | |
| 3.14 | Results of helix–coil theory | 78 | |
| 3.15 | Helical propensities | 80 | |
| 3.16 | Protein folding | 82 | |
| 3.17 | Cooperativity in protein folding | 86 | |
| Chapter 4 Molecular associations | 89 | ||
| 4.1 | Association equilibrium in solution | 89 | |
| 4.2 | Cooperativity | 91 | |
| 4.2.1 | Concerted binding | 91 | |
| 4.2.2 | Sequential binding | 93 | |
| 4.2.3 | Nearest neighbor interactions | 94 | |
| 4.3 | Thermodynamics of associations | 94 | |
| 4.4 | Contact formation | 95 | |
| 4.5 | Statistical mechanics of association | 96 | |
| 4.6 | Translational free energy | 98 | |
| 4.7 | Rotational free energy | 101 | |
| 4.8 | Vibrational free energy | 102 | |
| 4.9 | Solvation effects | 105 | |
| 4.10 | Configurational free energy | 106 | |
| 4.11 | Protein association in membranes – reduction of dimensionality | 107 | |
| 4.12 | Binding to membranes | 108 | |
| Chapter 5 Allosteric interactions | 111 | ||
| 5.1 | The allosteric transition | 112 | |
| 5.2 | The simplest case: one binding site and one allosteric transition | 112 | |
| 5.3 | Binding and response | 115 | |
| 5.4 | Energy balance in the one-site model | 116 | |
| 5.5 | G-protein coupled receptors | 117 | |
| 5.6 | Binding site interactions | 121 | |
| 5.7 | The Monod–Wyman–Changeux (MWC) model | 123 | |
| 5.8 | Hemoglobin | 126 | |
| 5.9 | Energetics of the MWC model | 127 | |
| 5.10 | Macroscopic and microscopic additivity | 128 | |
| 5.11 | Phosphofructokinase | 130 | |
| 5.12 | Ligand-gated channels | 132 | |
| 5.13 | Subunit–subunit interactions: the Koshland–Nemethy–Filmer (KNF) model | 134 | |
| 5.14 | The Szabo–Karplus (SK) model | 137 | |
| Chapter 6 Diffusion and Brownian motion | 142 | ||
| 6.1 | Macroscopic diffusion: Fick’s laws | 142 | |
| 6.2 | Solving the diffusion equation | 143 | |
| 6.2.1 | One-dimensional diffusion from a point | 144 | |
| 6.2.2 | Three-dimensional diffusion from a point | 146 | |
| 6.2.3 | Diffusion across an interface | 146 | |
| 6.2.4 | Diffusion with boundary conditions | 148 | |
| 6.3 | Diffusion at steady state | 150 | |
| 6.3.1 | A long pipe | 151 | |
| 6.3.2 | A small hole | 152 | |
| 6.3.3 | A porous membrane | 153 | |
| 6.4 | Microscopic diffusion – random walks | 154 | |
| 6.5 | Random walks and the Gaussian distribution | 156 | |
| 6.6 | The diffusion equation from microscopic theory | 159 | |
| 6.7 | Friction | 160 | |
| 6.8 | Stokes’ law | 162 | |
| 6.9 | Diffusion constants of macromolecules | 163 | |
| 6.10 | Lateral diffusion in membranes | 164 | |
| Chapter 7 Fundamental rate processes | 167 | ||
| 7.1 | Exponential relaxations | 167 | |
| 7.2 | Activation energies | 169 | |
| 7.3 | The reaction coordinate and detailed balance | 170 | |
| 7.4 | Linear free energy relations | 172 | |
| 7.5 | Voltage-dependent rate constants | 175 | |
| 7.6 | The Marcus free energy relation | 177 | |
| 7.7 | Eyring theory | 179 | |
| 7.8 | Diffusion over a barrier – Kramers’ theory | 180 | |
| 7.9 | Single-channel kinetics | 183 | |
| 7.10 | The reaction coordinate for a global transition | 186 | |
| Chapter 8 Association kinetics | 194 | ||
| 8.1 | Bimolecular association | 194 | |
| 8.2 | Small perturbations | 195 | |
| 8.3 | Diffusion-limited association | 197 | |
| 8.4 | Diffusion-limited dissociation | 200 | |
| 8.5 | Site binding | 201 | |
| 8.6 | Protein–ligand association rates | 203 | |
| 8.6.1 | Evolution of speed | 205 | |
| 8.6.2 | Acetylcholinesterase | 205 | |
| 8.6.3 | Horseradish peroxidase | 206 | |
| 8.7 | Proton transfer | 207 | |
| 8.8 | Binding to membrane receptors | 208 | |
| 8.9 | Reduction in dimensionality | 212 | |
| 8.10 | Binding to DNA | 214 | |
| Chapter 9 Multi-state kinetics | 216 | ||
| 9.1 | The three-state model | 216 | |
| 9.2 | Initial conditions | 219 | |
| 9.3 | Separation of timescales | 220 | |
| 9.4 | General solution to multi-state systems | 221 | |
| 9.5 | The three-state model in matrix notation | 225 | |
| 9.6 | Stationarity, conservation, and detailed balance | 226 | |
| 9.7 | Single-channel kinetics: the three-state model | 229 | |
| 9.8 | Separation of timescales in single channels: burst analysis | 232 | |
| 9.9 | General treatment of single-channel kinetics: state counting | 235 | |
| 9.10 | Relation between single-channel and macroscopic kinetics | 236 | |
| 9.11 | Loss of stationarity, conservation, and detailed balance | 237 | |
| 9.12 | Single-channel correlations: pathway counting | 240 | |
| 9.13 | Multisubunit kinetics | 242 | |
| 9.14 | Random walks and “stretched kinetics” | 244 | |
| Chapter 10 Enzyme catalysis | 248 | ||
| 10.1 | Basic mechanisms – serine proteases | 248 | |
| 10.2 | Michaelis–Menten kinetics | 251 | |
| 10.3 | Steady-state approximations | 254 | |
| 10.4 | Pre-steady-state kinetics | 256 | |
| 10.5 | Allosteric enzymes | 257 | |
| 10.6 | Utilization of binding energy | 258 | |
| 10.7 | Kramers’ rate theory and catalysis | 259 | |
| 10.8 | Proximity and translational entropy | 260 | |
| 10.9 | Rotational entropy | 263 | |
| 10.10 | Reducing E†: transition state complementarity | 264 | |
| 10.11 | Friction in an enzyme–substrate complex | 267 | |
| 10.12 | General-acid–base catalysis and Brønsted slopes | 268 | |
| 10.13 | Acid–base catalysis in β-galactosidase | 270 | |
| 10.14 | Catalysis in serine proteases and strong H-bonds | 272 | |
| 10.15 | Marcus’ theory and proton transfer in carbonic anhydrase | 273 | |
| Chapter 11 Ions and counterions | 276 | ||
| 11.1 | The Poisson–Boltzmann equation and the Debye length | 277 | |
| 11.2 | Activity coefficient of an ion | 279 | |
| 11.3 | Ionization of proteins | 283 | |
| 11.4 | Gouy–Chapman theory and membrane surface charge | 285 | |
| 11.5 | Stern’s improvements of Gouy–Chapman theory | 288 | |
| 11.6 | Surface charge and channel conductance | 291 | |
| 11.7 | Surface charge and voltage gating | 293 | |
| 11.8 | Electrophoretic mobility | 294 | |
| 11.9 | Polyelectrolyte solutions I. Debye–Hückel screening | 297 | |
| 11.10 | Polyelectrolyte solutions II. Counterion-condensation | 300 | |
| 11.11 | DNA melting | 302 | |
| Chapter 12 Fluctuations | 307 | ||
| 12.1 | Deviations from the mean | 307 | |
| 12.2 | Number fluctuations and the Poisson distribution | 309 | |
| 12.3 | The statistics of light detection by the eye | 311 | |
| 12.4 | Equipartition of energy | 313 | |
| 12.5 | Energy fluctuations in a macromolecule | 315 | |
| 12.6 | Fluctuations in protein ionization | 317 | |
| 12.7 | Fluctuations in a two-state system | 319 | |
| 12.8 | Single-channel current | 320 | |
| 12.9 | The correlation function of a two-state system | 322 | |
| 12.10 | The Wiener–Khintchine theorem | 324 | |
| 12.11 | Channel noise | 327 | |
| 12.12 | Circuit noise | 329 | |
| 12.13 | Fluorescence correlation spectroscopy | 332 | |
| 12.14 | Friction and the fluctuation–dissipation theorem | 336 | |
| Chapter 13 Ion permeation and membrane potential | 339 | ||
| 13.1 | Nernst potentials | 339 | |
| 13.2 | Donnan potentials | 341 | |
| 13.3 | Membrane potentials of cells | 343 | |
| 13.3.1 | Neurons | 345 | |
| 13.3.2 | Vertebrate skeletal muscle | 345 | |
| 13.4 | A membrane permeable to Na+ and K+ | 347 | |
| 13.5 | Membrane potentials of neurons again | 350 | |
| 13.6 | The Ussing flux ratio and active transport | 351 | |
| 13.7 | The Goldman–Hodgkin–Katz voltage equation | 352 | |
| 13.8 | Membrane pumps and potentials | 354 | |
| 13.9 | Transporters and potentials | 355 | |
| 13.10 | The Goldman–Hodgkin–Katz current equation | 357 | |
| 13.11 | Divalent ions | 360 | |
| 13.12 | Surface charge and membrane potentials | 361 | |
| 13.13 | Rate theory and membrane potentials | 362 | |
| Chapter 14 Ion permeation and channel structure | 367 | ||
| 14.1 | Permeation without channels | 367 | |
| 14.2 | The Ohmic channel | 370 | |
| 14.3 | Energy barriers and channel properties | 371 | |
| 14.4 | Eisenman selectivity sequences | 374 | |
| 14.5 | Forces inside an ion channel | 376 | |
| 14.6 | Gramicidin A | 378 | |
| 14.7 | Rate theory for multibarrier channels | 380 | |
| 14.8 | Single-ion channels | 384 | |
| 14.9 | Single-file channels | 390 | |
| 14.10 | The KcsA channel | 394 | |
| Chapter 15 Cable theory | 400 | ||
| 15.1 | Current through membranes and cytoplasm | 401 | |
| 15.2 | The cable equation | 403 | |
| 15.3 | Steady state in a finite cable | 406 | |
| 15.4 | Voltage steps in a finite cable | 408 | |
| 15.5 | Current steps in a finite cable | 411 | |
| 15.6 | Branches and equivalent cylinder representations | 412 | |
| 15.6.1 | Steady state | 413 | |
| 15.6.2 | Time constants | 415 | |
| 15.7 | Cable analysis of a neuron | 418 | |
| 15.8 | Synaptic integration in dendrites: analytical models | 422 | |
| 15.8.1 | Impulse responses | 423 | |
| 15.8.2 | Realistic synaptic inputs | 425 | |
| 15.9 | Compartmental models and cable theory | 428 | |
| 15.10 | Synaptic integration in dendrites: compartmental models | 430 | |
| Chapter 16 Action potentials | 434 | ||
| 16.1 | The action potential | 434 | |
| 16.2 | The voltage clamp and the properties of Na+ and K+ channels | 439 | |
| 16.3 | The Hodgkin–Huxley equations | 442 | |
| 16.4 | Current–voltage curves and thresholds | 447 | |
| 16.5 | Propagation | 450 | |
| 16.6 | Myelin | 453 | |
| 16.7 | Axon geometry and conduction | 455 | |
| 16.8 | Channel diversity | 457 | |
| 16.9 | Repetitive activity and the A-current | 458 | |
| 16.10 | Oscillations | 461 | |
| 16.11 | Dendritic integration | 466 | |
| Appendix 1 Expansions and series | 470 | ||
| A1.1 | Taylor series | 470 | |
| A1.2 | The binomial expansion | 471 | |
| A1.3 | Geometric series | 471 | |
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