Kenny B. Lipkowitz

Donald B. Boyd

Thomas R. Cundari

Computational chemistry is increasingly used in conjunction with organic, inorganic, medicinal, biological, physical, and analytical chemistry, biotechnology, materials science, and chemical physics. This series is essential in keeping those individuals involved in these fields abreast of recent developments in computational chemistry.

Reviews in Computational Chemistry, Volume 26

This book is an account of current developments in computational chemistry, a new multidisciplinary area of research. Experts in computational chemistry, the editors use and develop techniques for computer-assisted molecular design. The core of the text itself deals with techniques for computer-assisted molecular design. The book is suitable for both beginners and experts. In addition, protocols and software for molecular recognition and the relationship between structure and biological activity of drug molecules are discussed in detail. Each chapter includes a mini-tutorial, as well as discussion of advanced topics. Special Feature: The appendix to this book contains an extensive list of available software for molecular modeling.

Reviews in Computational Chemistry

This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics covered in Volume 18 include molecular modeling, computer-assisted molecular design (camd), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (qsar).

VOLUME 12 REVIEWS IN COMPUTATIONAL CHEMISTRY Kenny B. Lipkowitz and Donald B. Boyd HOW DOES ONE COMPUTE FREE ENERGY AND ENTROPY FROM MOLECULAR SIMULATIONS? WHAT HAPPENS WHEN SIMULATIONS ARE RUN WITH CONSTRAINTS? HOW SHOULD SIMULATIONS BE PERFORMED TO MODEL INTERFACIAL PHENOMENA? HOW IS DENSITY FUNCTIONAL THEORY USED TO SIMULATE MATERIALS? WHAT QUANTUM MECHANICAL METHODS SHOULD BE USED TO COMPUTE NONLINEAR OPTICAL PROPERTIES OF MATERIALS? WHICH PARAMETERS ARE MOST INFLUENTIAL IN A MOLECULAR SIMULATION? HOW CAN CRYSTAL STRUCTURES BE PREDICTED? TUTORIALS PROVIDING ANSWERS TO THESE QUESTIONS ARE THE FOCUS OF THIS BOOK. FROM REVIEWS OF THE SERIES "The series continues to be one of the most useful information sources." -JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Volume 6 of the successful series 'Reviews in Computational Chemistry' contains articles of interest to pharmaceutical chemists, biological chemists, chemical engineers, inorganic and organometallic chemists, synthetic organic chemists, polymer chemists, and theoretical chemists. The series is designed to help the chemistry community keep current with the many new developments in computational techniques. The writing style is refreshingly pedagogical and non-mathematical, allowing students and researchers access to computational methods outside their immediate area of expertise.

Raima Larter

The Reviews in Computational Chemistry series bringstogether leading authorities in the field. The chapters in thisbook series are written to teach the newcomer and update theexpert. Topics include computational chemistry, molecular modeling,computer-assisted molecular design (CAMD), quantum chemistry,molecular mechanics and dynamics, and quantitativestructure-activity relationships (QSAR). Detailed author and subject indices on each volume help thereader to quickly discover particular topics. The chapters are approached in a tutorial manner and written ina non-mathematical style allowing students and researchers toaccess computational methods outside their immediate area ofexpertise.

This is the seventh volume in the successful series designed to help the chemistry community keep current with the many new developments in computational techniques. The writing style is refreshingly pedagogical and non-mathematical, allowing students and researchers access to computational methods outside their immediate area of expertise. Each invited author approaches a topic with the aim of helping the reader understand the material, solve problems, and locate key references quickly.

This series is reviewing advances in the rapidly growing and evolving field of computational chemistry. It was established to keep track of the many new developments and is therefore providing a valuable service to the scientific community.

A select group of scientists from around the world join in this volume to create unique chapters aimed at both the novice molecular modeler and the expert computational chemist. Chapter 1 shows how molecular modeling of peptidomimetics plays a key role in drug discovery. Specific examples of successful computer-aided drug design are spelled out. Chapter 2 is a definitive exposition on thermodynamic perturbation and thermodynamic integration approaches in molecular dynamics simulations. Three additional chapters elucidate molecular modeling of carbohydrates, the best empirical force fields to use in molecular mechanics, and molecular shape as a useful quantitative descriptor.

Donald B. Boyd

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