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Molecular and cellular biophysics / Meyer B. Jackson.

Holman Biotech Commons QH505 .J33 2006
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Math/Physics/Astronomy Library QH505 .J33 2006
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Format:
Book
Author/Creator:
Jackson, Meyer B.
Contributor:
Emma Louise McClellan Fund.
Language:
English
Subjects (All):
Biophysics.
Medical Subjects:
Biophysics.
Physical Description:
xiii, 512 pages : illustrations ; 25 cm
Place of Publication:
Cambridge : Cambridge University Press, 2006.
Summary:
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.
Contents:
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-[pi] 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[superscript dagger]: transition state complementarity 264
10.11 Friction in an enzyme-substrate complex 267
10.12 General-acid-base catalysis and Bronsted slopes 268
10.13 Acid-base catalysis in [beta]-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-Huckel 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[superscript +] and K[superscript +] 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[superscript +] and K[superscript +] 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
Appendix 2 Matrix algebra 472
A2.1 Linear transforms 472
A2.2 Determinants 473
A2.3 Eigenvalues, eigenvectors, and diagonalization 474
Appendix 3 Fourier analysis 477
Appendix 4 Gaussian integrals 481
Appendix 5 Hyperbolic functions 483
Appendix 6 Polar and spherical coordinates 484.
Notes:
Includes bibliographical references (pages [486]-503) and index.
Local Notes:
Acquired for the Penn Libraries with assistance from the Emma Louise McClellan Fund.
ISBN:
052162441X
0521624703
OCLC:
61757063
Publisher Number:
9780521624411
9780521624701

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