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xii Preface

topics like quantum mechanics to narrow ones like graph theory. The categories should aid finding books in specific areas. But it is worth remembering that all the books tabulated in the appendix, whether on molecular modeling, chemometrics, simulations, and so on, represent facets of computational chemistry. As defined in the first volume of our series,* computational chemistry consists of those aspects of chemical research that are expedited or rendered practical by computers. Analysis of the number of computational chemistry books published each year revealed an interesting phenomenon. The numbers have been increasing and occurring in waves four to five years apart.

As always, we try to be heedful of the needs of our readers and authors. Every effort is made to produce volumes that will have sustained usefulness in learning, teaching, and research. We appreciate the fact that the community of computational chemists has found that these volumes fulfill a need. In the most recent data on impact factors from the Institute of Scientific Information (Philadelphia, Pennsylvania), Reviews in Computational Chemistry is ranked fourth among serials (journals and books) in the field of computational chemistry. (In first place is the Journal of Molecular Graphics and Modelling, followed by the Journal of Computational Chemistry and Theoretical Chemistry Accounts. In fifth and sixth places are the Journal of Computer-Aided Molecular Design and the Journal of Chemical Information and Computer Science, respectively.)

We invite our readers to visit the Reviews in Computational Chemistry website at http://chem.iupui.edu/rcc/rcc.html. It includes the author and subject indexes, color graphics, errata, and other materials supplementing the chapters.

We thank the authors in this volume for their excellent chapters. Mrs. Joanne Hequembourg Boyd provided valued editorial assistance.

Kenny B. Lipkowitz and Donald B. Boyd

Indianapolis

February 2001

*K. B. Lipkowitz and D. B. Boyd, Eds., Reviews in Computational Chemistry, VCH Publishers, New York, 1990, Vol. 1, pp. vii–xii. Preface.

Contents

1. Small Molecule Docking and Scoring

1

Ingo Muegge and Matthias Rarey

 

Introduction

1

Algorithms for Molecular Docking

4

The Docking Problem

5

Placing Fragments and Rigid Molecules

6

Flexible Ligand Docking

10

Handling Protein Flexibility

20

Docking of Combinatorial Libraries

21

Scoring

23

Shape and Chemical Complementary Scores

25

Force Field Scoring

26

Empirical Scoring Functions

28

Knowledge-Based Scoring Functions

30

Comparing Scoring Functions in Docking

 

Experiments: Consensus Scoring

33

From Molecular Docking to Virtual Screening

35

Protein Data Preparation

36

Ligand Database Preparation

36

Docking Calculation

36

Postprocessing

37

Applications

37

Docking as a Virtual Screening Tool

37

Docking as a Ligand Design Tool

40

Concluding Remarks

44

Acknowledgments

46

References

46

2. Protein–Protein Docking

61

Lutz P. Ehrlich and Rebecca C. Wade

 

Introduction

61

Why This Topic?

62

Protein–Protein Binding Data

62

xiii

xiv

Contents

 

 

Challenges for Computational Docking Studies

67

 

Computational Approaches to the Docking Problem

69

 

Docking ¼ Sampling þ Scoring

70

 

Rigid-Body Docking

73

 

Flexible Docking

79

 

Example

82

 

Estimating the Extent of Conformational Change

 

 

upon Binding

83

 

Rigid-Body Docking

83

 

Flexible Docking with Side-Chain Flexibility

86

 

Flexible Docking with Full Flexibility

88

 

Future Directions

90

 

Conclusions

91

 

References

92

3. Spin–Orbit Coupling in Molecules

99

 

Christel M. Marian

 

 

What It Is All About

99

 

The Fourth Electronic Degree of Freedom

101

 

The Stern–Gerlach Experiment

101

 

Zeeman Spectroscopy

103

 

Spin Is a Quantum Effect

108

 

Angular Momenta

109

 

Orbital Angular Momentum

109

 

General Angular Momenta

114

 

Spin Angular Momentum

121

 

Spin–Orbit Hamiltonians

124

 

Full Oneand Two-Electron Spin–Orbit

 

 

Operators

125

 

Valence-Only Spin–Orbit Hamiltonians

127

 

Effective One-Electron Spin–Orbit Hamiltonians

132

 

Symmetry

136

 

Transformation Properties of the Wave Function

137

 

Transformation Properties of the Hamiltonian

143

 

Matrix Elements

148

 

Examples

154

 

Summary

158

 

Computational Aspects

159

 

General Considerations

159

 

Evaluation of Spin–Orbit Integrals

161

 

Perturbational Approaches to Spin–Orbit Coupling

163

 

Variational Procedures

166

 

Comparison of Fine-Structure Splittings with Experiment

170

Contents

xv

First-Order Spin–Orbit Splitting

171

Second-Order Spin–Orbit Splitting

175

Spin-Forbidden Transitions

177

Radiative Transitions

179

Nonradiative Transitions

187

Summary and Outlook

193

Acknowledgments

195

References

195

4. Cellular Automata Models of Aqueous Solution Systems

205

Lemont B. Kier, Chao-Kun Cheng, and Paul G. Seybold

 

Introduction

205

Cellular Automata

208

Historical Background

208

The General Structure

209

Cell Movement

212

Movement (Transition) Rules

215

Collection of Data

219

Aqueous Solution Systems

221

Water as a System

221

The Molecular Model

221

Significance of the Rules

223

Studies of Water and Solution Phenomena

224

A Cellular Automata Model of Water

224

The Hydrophobic Effect

224

Solute Dissolution

226

Aqueous Diffusion

228

Immiscible Liquids and Partitioning

229

Micelle Formation

231

Membrane Permeability

232

Acid Dissociation

234

Percolation

235

Solution Kinetic Models

237

First-Order Kinetics

237

Kinetic and Thermodynamic Reaction Control

240

Excited-State Kinetics

240

Second-Order Kinetics

242

Enzyme Reactions

245

An Anticipatory Model

246

Chromatographic Separation

247

Conclusions

248

Appendix

249

References

250

xvi

Contents

 

Appendix. Books Published on the Topics of

 

 

Computational Chemistry

255

 

Kenny B. Lipkowitz and Donald B. Boyd

 

 

Introduction

255

 

Computers in Chemistry

261

 

Chemical Information

271

 

Computational Chemistry

280

 

Artificial Intelligence and Chemometrics

287

 

Crystallography, Spectroscopy, and Thermochemistry

289

 

Quantum Chemistry

293

 

Fundamentals of Quantum Theory

293

 

Applied Quantum Chemistry

304

 

Crystals, Polymers, and Materials

319

 

Selected Series and Proceedings from Long-Running

 

 

Conferences

322

 

Molecular Modeling

331

 

Molecular Simulation

335

 

Molecular Design and Quantitative Structure-Activity

 

 

Relationships

345

 

Graph Theory in Chemistry

352

 

Trends

353

 

Concluding Remarks

356

 

References

357

Author Index

359

Subject Index

389

Contributors

Donald B. Boyd, Department of Chemistry, Indiana University–Purdue University at Indianapolis, 402 North Blackford Street, Indianapolis, Indiana 46202-3274, U.S.A. (Electronic mail: boyd@chem.iupui.edu)

Chao-Kun Cheng, Department of Mathematics, Virginia Commonwealth University, Richmond, Virginia 23298, U.S.A. (Electronic mail: ccheng@atlas.vcu.edu)

Lutz P. Ehrlich, LION Bioscience AG, Waldhofer Strasse 98, D-69123 Heidelberg, Germany (Electronic mail: lutz.ehrlich@lionbioscience.com)

Lemont B. Kier, Department of Medicinal Chemistry, Virginia Commonwealth University, Richmond, 23298, U.S.A. (Electronic mail: kier@hsc.vcu.edu)

Kenny B. Lipkowitz, Department of Chemistry, Indiana University–Purdue University at Indianapolis, 402 North Blackford Street, Indianapolis, Indiana 46202-3274, U.S.A. (Electronic mail: lipkowitz@chem.iupui.edu)

Christel M. Marian, German National Research Center for Information Technology (GMD), Scientific Computing and Algorithms Institute (SCAI), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany (Electronic mail: christel.marian@gmd.de and cm@uni-bonn.de)

Ingo Mu¨ gge, Bayer Research Center, 400 Morgan Lane, West Haven, Connecticut 06516, U.S.A. (Electronic mail: ingo.mugge.b@bayer.com)

Matthias Rarey, German National Research Center for Information Technology (GMD), Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany (Electronic mail: rarey@gmd.de)

xvii

xviii Contributors

Paul Seybold, Chemistry Department, Wright State University, Dayton, Ohio 45435, U.S.A. (Electronic mail: paul.seybold@wright.edu)

Rebecca C. Wade, European Media Laboratory, Villa Bosch, SchlossWolfsbrunnenweg 33, D-69118 Heidelberg, Germany (Electronic mail: rebecca.wade@eml.villa-bosch.de)

Contributors to Previous Volumes*

Volume 1

David Feller and Ernest R. Davidson, Basis Sets for Ab Initio Molecular Orbital Calculations and Intermolecular Interactions.

James J. P. Stewart,y Semiempirical Molecular Orbital Methods.

Clifford E. Dykstra,z Joseph D. Augspurger, Bernard Kirtman, and David J. Malik, Properties of Molecules by Direct Calculation.

Ernest L. Plummer, The Application of Quantitative Design Strategies in Pesticide Design.

Peter C. Jurs, Chemometrics and Multivariate Analysis in Analytical Chemistry.

Yvonne C. Martin, Mark G. Bures, and Peter Willett, Searching Databases of Three-Dimensional Structures.

Paul G. Mezey, Molecular Surfaces.

Terry P. Lybrand,} Computer Simulation of Biomolecular Systems Using Molecular Dynamics and Free Energy Perturbation Methods.

*When no author of a chapter can be reached at the addresses shown in the original volume, the current affiliation of the senior or corresponding author is given here as a convenience to our readers.

yCurrent address: 15210 Paddington Circle, Colorado Springs, Colorado 80921-2512 (Electronic mail: jstewart@fai.com).

zCurrent address: Department of Chemistry, Indiana University–Purdue University at Indianapolis, Indianapolis, Indiana 46202 (Electronic mail: dykstra@chem.iupui.edu).

}Current address: University of Washington, Seattle, Washington 98195 (Electronic mail: lybrand@proteus.bioeng.washington.edu).

xix

xx Contributors to Previous Volumes

Donald B. Boyd, Aspects of Molecular Modeling.

Donald B. Boyd, Successes of Computer-Assisted Molecular Design.

Ernest R. Davidson, Perspectives on Ab Initio Calculations.

Volume 2

Andrew R. Leach,* A Survey of Methods for Searching the Conformational Space of Small and Medium-Sized Molecules.

John M. Troyer and Fred E. Cohen, Simplified Models for Understanding and Predicting Protein Structure.

J. Phillip Bowen and Norman L. Allinger, Molecular Mechanics: The Art and Science of Parameterization.

Uri Dinur and Arnold T. Hagler, New Approaches to Empirical Force Fields.

Steve Scheiner,y Calculating the Properties of Hydrogen Bonds by Ab Initio Methods.

Donald E. Williams, Net Atomic Charge and Multipole Models for the Ab Initio Molecular Electric Potential.

Peter Politzer and Jane S. Murray, Molecular Electrostatic Potentials and Chemical Reactivity.

Michael C. Zerner, Semiempirical Molecular Orbital Methods.

Lowell H. Hall and Lemont B. Kier, The Molecular Connectivity Chi Indexes and Kappa Shape Indexes in Structure–Property Modeling.

I. B. Bersukerz and A. S. Dimoglo, The Electron–Topological Approach to the QSAR Problem.

Donald B. Boyd, The Computational Chemistry Literature.

*Current address: GlaxoSmithKline, Greenford, Middlesex, UB6 0HE, United Kingdom (Electronic mail: arl22958@ggr.co.uk).

yCurrent address: Department of Chemistry and Biochemistry, Utah State University, Logan, Utah 84322 (Electronic mail: scheiner@cc.usu.edu).

zCurrent address: College of Pharmacy, The University of Texas, Austin, Texas 78712 (Electronic mail: bersuker@eeyore.cm.utexas.edu).

Contributors to Previous Volumes

xxi

Volume 3

Tamar Schlick, Optimization Methods in Computational Chemistry.

Harold A. Scheraga, Predicting Three-Dimensional Structures of

Oligopeptides.

Andrew E. Torda and Wilfred F. van Gunsteren, Molecular Modeling Using NMR Data.

David F. V. Lewis, Computer-Assisted Methods in the Evaluation of Chemical Toxicity.

Volume 4

Jerzy Cioslowski, Ab Initio Calculations on Large Molecules: Methodology and Applications.

Michael L. McKee and Michael Page, Computing Reaction Pathways on Molecular Potential Energy Surfaces.

Robert M. Whitnell and Kent R. Wilson, Computational Molecular Dynamics of Chemical Reactions in Solution.

Roger L. DeKock, Jeffry D. Madura, Frank Rioux, and Joseph Casanova,

Computational Chemistry in the Undergraduate Curriculum.

Volume 5

John D. Bolcer and Robert B. Hermann, The Development of Computational Chemistry in the United States.

Rodney J. Bartlett and John F. Stanton, Applications of Post-Hartree–Fock Methods: A Tutorial.

Steven M. Bachrach,* Population Analysis and Electron Densities from Quantum Mechanics.

*Current address: Department of Chemistry, Trinity University, San Antonio, Texas 78212 (Electronic mail: steven.bachrach@trinity.edu).

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