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Modeling Chemical Systems using Cellular Automata
Modeling Chemical Systems using Cellular Automata provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models. It then gives detailed descriptions, with examples and exercises, of how cellular automata models can be used in the study of a wide variety chemical, physical, and biochemical phenomena. Topics covered include models of water itself, solution phenomena, solution interactions with stationary systems, first- and second-order kinetic phenomena, enzyme kinetics, vapor-liquid equilibrium, and atomic and molecular ex...
Molecular Structure Description
The electrotopological state is a new approach to defining key structural features of a molecule in drug design. Combining both electronic and topological attributes, the E-State index facilitates the development of a structure - activity model, the definition of a pharmacophore, and the search through a database for similar or dissimilar compounds. The background for the method, the concept of the intrinsic state, and the E-State index as a function of the atom or group within the field of all atoms in a molecule are all described in this primer for a new structure paradigm. Software on the bundled CD-ROM allows the reader to compute and display the E-State indices for molecules, while examples in the book illustrate strategies that can be used in drug research.
Molecular Connectivity in Chemistry and Drug Research
Medicinal Chemistry, Volume 14: Molecular Connectivity in Chemistry and Drug Research is a 10-chapter text that focuses on the molecular connectivity approach for quantitative evaluation of molecular structure of drugs. Molecular connectivity is a nonempirical derivation of numerical value that encode within them sufficient information to relate to many physicochemical and biological properties. This book outlines first the development of molecular connectivity approach, followed by considerable chapters on its application to evaluation of physicochemical properties of drugs. Other chapters explore the application of molecular connectivity to structure-activity studies in medicinal chemistry. The final chapters provide some reflections, challenges, and potential areas of investigation of molecular connectivity. Advanced undergraduate or graduate students in medicinal chemistry or pharmacology, practicing scientists, and theoretical chemists will find this book invaluable.
Drug Design
Drug Design, Volume X covers promising and current developments in drug design. The book discusses procedures as applied in the practice of drug design; the structural aspects of the structure-activity relationships of neuroleptics; and promising perspectives in the highly actual field of bioactive peptides. The text also describes the application of the dynamic systems analysis to the antihypertensive drug action; polymeric drug delivery systems; and the design of biocompatible polymers. The structure-activity relationships of insect repellents as a basis for the design of such agents, as well as the approaches to the multivariate data analysis in structure-activity relationships, which is an essential aspect of drug design, are also encompassed. Chemists, pharmacologists, bioengineers, and people involved in drug design and manufacture will find the book invaluable.
Pattern Discovery in Bioinformatics
The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema
Reviews in Computational Chemistry, Volume 7
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.
Reviews in Computational Chemistry, Volume 17
Computational chemistry is increasingly used in most areas of molecular science including organic, inorganic, medicinal, biological, physical, and analytical chemistry. Researchers in these fields who do molecular modelling need to understand and stay current with recent developments. This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Two chapters focus on molecular docking, one of which relates to drug discovery and cheminformatics and the other to proteomics. In addition, this volume contains tutorials on spin-orbit coupling and cellular automata modeling, as well as an extensive bibliography of computational chemistry books. FRO...
Reviews in Computational Chemistry, Volume 4
This volume in the series brings together reknowned experts in the field to present the reader with an account of the latest developments in quantum mechanics, molecular dynamics, and the teaching of computational chemistry. There are so many developments in the field of computational chemistry that it is difficult to keep track of them. The series was established to review the high volume of developments in the field. Rather than create a traditional article, each author approaches a topic to enable the reader to understand and solve problems and locate key references quickly. Each article has tutorial value. An updated compendium of software for molecular modeling appears as an appendix as in previous volumes. To the editors' knowledge, this is the most complete listing of sources of software for computational chemistry anywhere.
Reviews in Computational Chemistry, Volume 32
REVIEWS IN COMPUTATIONAL CHEMISTRY THE LATEST VOLUME IN THE REVIEWS IN COMPUTATIONAL CHEMISTRY SERIES, THE INVALUABLE REFERENCE TO METHODS AND TECHNIQUES IN COMPUTATIONAL CHEMISTRY Reviews in Computational Chemistry reference texts assist researchers in selecting and applying new computational chemistry methods to their own research. Bringing together writings from leading experts in various fields of computational chemistry, Volume 32 covers topics including global structure optimization, time-dependent density functional tight binding calculations, non-equilibrium self-assembly, cluster prediction, and molecular simulations of microphase formers and deep eutectic solvents. In keeping with ...
Reviews in Computational Chemistry, Volume 2
This second volume of the series 'Reviews in Computational Chemistry' explores new applications, new methodologies, and new perspectives. The topics covered include conformational analysis, protein folding, force field parameterizations, hydrogen bonding, charge distributions, electrostatic potentials, electronic spectroscopy, molecular property correlations, and the computational chemistry literature. Methodologies described include conformational search strategies, distance geometry, molecular mechanics, molecular dynamics, ab initio and semiempirical molecular orbital calculations, and quantitative structure-activity relationships (QSAR) using topological and electronic descriptors. A compendium of molecular modeling software will help users select the computational tools they need. Each chapter in 'Reviews in Computational Chemistry' serves as a brief tutorial for organic, physical, pharmaceutical, and biological chemists new to the field. Practitioners will be interested in the recent advances.
