Molecular Similarity I
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Author | : Mark A. Johnson |
Publisher | : Wiley-Interscience |
Total Pages | : 420 |
Release | : 1990-09-24 |
Genre | : Science |
ISBN | : |
Offers authoritative overviews of topics related to the definition, computation and application of molecular similarity and emphasizes current research trends with molecular similarity as the unifying concept. Introduces and defines the concept of molecular similarity and explains how it can be used to explore the data containing 2-D and 3-D chemical information. Addresses the basic problem of relating chemical structures to their associated chemical and biological properties. Final chapters illustrate the use of similarity arguments in the study of chemical reaction pathways and present theoretical approaches to the concept of molecular similarity.
Author | : Jürgen Bajorath |
Publisher | : Humana Press |
Total Pages | : 588 |
Release | : 2010-09-22 |
Genre | : Science |
ISBN | : 9781607618386 |
Over the past years, the chem(o)informatics field has further evolved and new application areas have opened up, for example, in the broadly defined area of chemical biology. In Chemoinformatics and Computational Chemical Biology, leading investigators bring together a detailed series of reviews and methods including, among others, system-directed approaches using small molecules, the design of target-focused compound libraries, the study of molecular selectivity, and the systematic analysis of target-ligand interactions. Furthermore, the book delves into similarity methods, machine learning, probabilistic approaches, fragment-based methods, as well as topics that go beyond the current chemoinformatics spectrum, such as knowledge-based modeling of G protein-coupled receptor structures and computational design of siRNA libraries. As a volume in the highly successful Methods in Molecular BiologyTM series, this collection provides detailed descriptions and implementation advice that are exceedingly relevant for basic researchers and practitioners in this highly interdisciplinary research and development area. Cutting-edge and unambiguous, Chemoinformatics and Computational Chemical Biology serves as an ideal guide for experts and newcomers alike to this vital and dynamic field of study.
Author | : Ramon Carbó-Dorca |
Publisher | : Springer Science & Business Media |
Total Pages | : 365 |
Release | : 2013-04-17 |
Genre | : Science |
ISBN | : 1475732732 |
In recent years the fundamental concepts and applied methodologies of molecular similarity analysis have experienced a revolutionary development. Motivated by the increased degree of understanding of elementary molecular properties on the levels ranging from fundamental quantum chemistry to the complex interactions of biomolecules, and aided by the spectacular progress in computer technology and access to computer power, the area has opened up to many new ideas and new approaches. This book covers topics in quantum similarity approaches, electron density shape analysis methods, and it provides better theoretical understanding of molecular similarity. Additionally, quantitative shape analysis, especially activity relations (QShAR) and the prediction of the pharmacological or toxicological effects of molecules in the related context of quantum QSAR (QQSAR). This volume written by the experts in the various subfields of molecular similarity, provides a collection of the most recent ideas, advances, and methodologies. It is the hope of the Editors that by representing these topics within a single volume, the readers will find a balanced overview of the status of the field. We also hope that the book will serve as a tool for selecting and assessing the best approach for various new types of problems of molecular similarity that may arise and it will provide a set of easy references for further studies and applications.
Author | : Ramón Carbó |
Publisher | : Springer Science & Business Media |
Total Pages | : 342 |
Release | : 1995-07-31 |
Genre | : Science |
ISBN | : 9780792333098 |
Similarities in chemical reactivity depend on molecular properties, and are ultimately dependent on the similarities of electronic structures. Fundamentally, quantum chemical similarities are manifested in similarities of molecular behaviour. This book covers both the quantum chemical origins and the methods of phenomenological descriptions of molecular similarity. The emphasis on reactivity is a unique feature. The exposition of computational methods and the prediction of reactivities, as well as the description of actual computer programs constitute important aspects of the book. Specific applications in drug design and techniques for the interpretation of the roles of functional groups in reactivity are of interest in molecular engineering. The selection of topics provides a detailed and balanced introduction to the field of similarity-based assessment of chemical reactivity. For researchers and graduate students in both fundamental chemistry and applied fields, such as biochemistry, pharmacology and drug design.
Author | : Karina Martinez-Mayorga |
Publisher | : Springer |
Total Pages | : 258 |
Release | : 2014-11-21 |
Genre | : Technology & Engineering |
ISBN | : 3319102265 |
The explosion in the generation of information parallels the explosion of computational resources. The use of computers to collect, store and manipulate chemical information is at the heart of chemoinformatics. These methodologies, whose main target thus far has been the pharmaceutical field, are general and can be applied to other types of chemical data sets, such as those containing food chemicals. While the use of chemical information methodologies to address food-related challenges is still in its infancy, interest is growing and will continue to do so as the methods prove useful, particularly for providing practical solutions to food industry challenges. Foodinformatics gives an overview of basic concepts, applications, tools and perspectives of the emerging field of foodinformatics. The book is an important addition to the literature and will be of interest of food chemists, nutritionists, informaticians and scientists of related fields. About the Editors Karina Martínez-Mayorga, Instituto de Química, UNAM, Mexico City, México and Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, USA José Luis Medina-Franco, Instituto de Química, UNAM, México City, México, and Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, USA
Author | : R. Carbó-Dorca |
Publisher | : Elsevier |
Total Pages | : 313 |
Release | : 1999-02-18 |
Genre | : Science |
ISBN | : 0080552269 |
This volume highlights some of the advances in molecular similarity. Molecular similarity research is a dynamic field where the rapid transfer of ideas and methodologies from the theoretical, quantum chemical and mathematical chemistry disciplines to efficient algorithms and computer programs used in industrially important applications is especially evident. These applications often serve as motivating factors toward new advances in the fundamental and theoretical fields, and the combination of intellectual challenge and practical utility provides mutual advantages to theoreticians and experimentalists. The aim of this volume is to present an overview of the current methodologies of molecular similarity studies, and to point out new challenges, unsolved problems, and areas where important new advances can be expected.
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2002 |
Genre | : Cells |
ISBN | : 9780815332183 |
Author | : Gisbert Schneider |
Publisher | : John Wiley & Sons |
Total Pages | : 540 |
Release | : 2013-10-10 |
Genre | : Medical |
ISBN | : 3527677038 |
Systematically examining current methods and strategies, this ready reference covers a wide range of molecular structures, from organic-chemical drugs to peptides, Proteins and nucleic acids, in line with emerging new drug classes derived from biomacromolecules. A leader in the field and one of the pioneers of this young discipline has assembled here the most prominent experts from across the world to provide first-hand knowledge. While most of their methods and examples come from the area of pharmaceutical discovery and development, the approaches are equally applicable for chemical probes and diagnostics, pesticides, and any other molecule designed to interact with a biological system. Numerous images and screenshots illustrate the many examples and method descriptions. With its broad and balanced coverage, this will be the firststop resource not only for medicinal chemists, biochemists and biotechnologists, but equally for bioinformaticians and molecular designers for many years to come. From the content: * Reaction-driven de novo design * Adaptive methods in molecular design * Design of ligands against multitarget profiles * Free energy methods in ligand design * Fragment-based de novo design * Automated design of focused and target family-oriented compound libraries * Molecular de novo design by nature-inspired computing * 3D QSAR approaches to de novo drug design * Bioisosteres in de novo design * De novo design of peptides, proteins and nucleic acid structures, including RNA aptamers and many more.
Author | : Johann Gasteiger |
Publisher | : |
Total Pages | : 1870 |
Release | : 2003 |
Genre | : Cheminformatics |
ISBN | : 9783527306800 |
"The new discipline of chemoinformatics covers the application of computer-assisted methods to chemical problems such as information storage and retrieval, the prediction of physical, chemical or biological properties of compounds, spectra simulation, structure elucidation, reaction modeling, synthesis planning and drug design. ... this four-volume Handbook contains in-depth contributions from top authors from around the world, with the content organized into chapters dealing with the representation of molecular structures and reactions, data types and databases/data sources, search methods, methods for data analysis as well as applications"--Back cover.
Author | : Hugo Kubinyi |
Publisher | : Springer Science & Business Media |
Total Pages | : 413 |
Release | : 1998-04-30 |
Genre | : Medical |
ISBN | : 0792347900 |
Volumes 2 and 3 of the 3D QSAR in Drug Design series aim to review the progress being made in CoMFA and other 3D QSAR approaches since the publication of the highly successful first volume about four years ago. Volume 2 (Ligand-Protein Interactions and Molecular Similarity) divides into three sections dealing with Ligand-Protein Interactions, Quantum Chemical Models and Molecular Dynamics Simulations, and Pharmacophore Modelling and Molecular Similarity, respectively. Volume 3 (Recent Advances) is also divided into three sections, namely 3D QSAR Methodology: CoMFA and Related Approaches, Receptor Models and Other 3D QSAR Approaches, and 3D QSAR Applications. More than seventy distinguished scientists have contributed nearly forty reviews of their work and related research to these two volumes which are of outstanding quality and timeliness. These works present an up-to-date coverage of the latest developments in all fields of 3D QSAR.