Written in a non-mathematical style, the Reviews in Computational Chemistry series allows students and researchers to access computational methods outside their immediate area of expertise. Bringing together leading authorities in the field, this series provides the necessary background and theory, strategies for implementing methods, pitfalls to avoid, applications, and references. The series contains updated and comprehensive compendiums of molecular modeling software that list hundred of programs, services, suppliers and other practical information.

Reviews in Computational Chemistry, 22 Volume Set: Volumes 1 - 22

Science & Math

Chemistry

Wiley-VCH

THIS VOLUME, LIKE THOSE PRIOR TO IT, FEATURES CHAPTERS BY EXPERTS IN VARIOUS FIELDS OF COMPUTATIONAL CHEMISTRY. Volume 23 COVERS LINEAR SCALING METHODS FOR QUANTUM CHEMISTRY, VARIATIONAL TRANSITION STATE THEORY, COARSE GRAIN MODELING OF POLYMERS, SUPPORT VECTOR MACHINES, CONICAL INTERSECTIONS, ANALYSIS OF INFORMATION CONTENT USING SHANNON ENTROPY, AND HISTORICAL INSIGHTS INTO HOW COMPUTING EVOLVED IN THE PHARMACEUTICAL INDUSTRY. FROM REVIEWS OF THE SERIES "Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry." —JOURNAL OF MOLECULAR GRAPHICS AND MODELLING "One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)." —JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Reviews in Computational Chemistry, Volume 23

Computers & Technology

Computer Science

Reviews in Computational Chemistry

Reviews in Computational Chemistry, Volume 8

<p>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.</p>

Reviews in Computational Chemistry, Volume 9

Reviews in Computational Chemistry, Volume 11

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