Includes bibliographical references.
|Statement||Marian Gheorghe, editor.|
|Contributions||Gheorghe, Marian, 1953-|
|LC Classifications||QH506 .M66434 2005|
|The Physical Object|
|ISBN 10||1591403332, 1591403340|
|LC Control Number||2004023592|
This book provides an introduction to the interdisciplinary field of molecular computing. The book moves from abstract principles of molecular computing to the building of actual systems. "Molecular Computation Models: Unconventional Approaches is looking into new computational paradigms from both a theoretical perspective which offers a solid foundation of the models developed, as well as from a modeling angle, in order to reveal their effectiveness in modeling and simulating, especially biological systems. Then follows molecular computing approaches which lie outside the Boolean blueprint, including quantum phenomena and finally, the book catalogues the useful real-life applications of molecular logic and computation which are already by: Invaluable to all students taking a first course in computational chemistry, molecular modelling, computational quantum chemistry or electronic structure theory. This book will also be of interest to postgraduates, researchers and professionals needing an up-to Reviews:
Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. About this book " [This book] collects together, largely for the first time, a series of chapters dedicated to all the ways in which molecular modeling/computational chemistry can impact organic chemistry." — Christopher J. Cramer, author of Essentials ofComputational Chemistry: Theories and Models. Frontiers in Computational Chemistry, originally published by Bentham and now distributed by Elsevier, presents the latest research findings and methods in the diverse field of computational chemistry, focusing on molecular modeling techniques used in drug discovery and the drug development process. An area that seeks to discover new computational models from the study of the cellular membranes. It not so much the task of creating a cellular model but to derive a computational mechanism from processes that are know to proceed in a cell. Deals with distributed and parallel computing models, processing multi-sets of symbol objects.
viiiPreface Models of Computation The book covers the traditional topics of formal languages and automata and complexity classesbut alsogivesan introductionto themoremoderntopics ofspace-time tradeoffs, mem- ory hierarchies, parallel computation, the VLSI model, and circuit complexity. Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum. DNA Computing Models presents laboratory-scale human-operated models of computation, including a description of the first experiment of DNA computation conducted by Adleman in It provides molecular-scale autonomous models of computation and addresses the design of computational devices working in living cells. Molecular structures, modeling of various properties of molecules and chemical reactions are discussed. Both ground and excited state properties are covered in the gas phase as well as in solutions. Solid state materials and nanomaterials are described in part three. Amongst the topics covered are clusters, periodic structures, and nano-systems.