Reviews in Computational Chemistry
.pdfxii 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).