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This book is about the development of knowledge-based, and related, expert systems in chemistry and toxicology. It shows how computers can work with qualitative information where precise numerical methods are not satisfactory.
This new edition has been thoroughly revised and updated to reflect the advances in using knowledge-based expert systems for chemistry.
Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows
TRAC: Trends in Analytical Chemistry, Volume 11 presents relevant topics in global analytical chemistry research. This book discusses the fundamental principle of competitive immunoassays. Organized into 27 chapters, this volume begins with an overview of the general and important contributions relating to the presentation of forensic evidence to courts of law. This text then discusses the importance of the analysis of scanned measuring quantities. Other chapters consider the advantages as well as the drawbacks of coupled chromatographic methods. This book discusses as well the status of analytical chemistry within the broader scientific arena as a practical rather than fundamentally oriented discipline. The final chapter deals with the properly functioning process control system in manufacturing insulin by reversed-phase high-performance liquid chromatography (RP–HPLC). This book is a valuable resource for analytical, organic, clinical, and regulatory chemists. Electrochemists, scientists, students, engineers, researcher workers, and other practitioners will also find this book extremely useful.
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
This volume demonstrates how chemical problems can be solved through the use of expert systems, programs that attempt to solve problems the same way a human expert would. Its 18 chapters offer a discussion of advanced prototypes and how they were constructed, along with a wide range of expert systems that are being used to solve chemical problems. Three main sections cover general chemical applications, industrial applications, and analytical chemistry applications. Of special interest is a brief glossary in the first chapter that aids in reading the rest of the book.
This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.
Comprehensive Medicinal Chemistry III, Eight Volume Set provides a contemporary and forward-looking critical analysis and summary of recent developments, emerging trends, and recently identified new areas where medicinal chemistry is having an impact. The discipline of medicinal chemistry continues to evolve as it adapts to new opportunities and strives to solve new challenges. These include drug targeting, biomolecular therapeutics, development of chemical biology tools, data collection and analysis, in silico models as predictors for biological properties, identification and validation of new targets, approaches to quantify target engagement, new methods for synthesis of drug candidates such as green chemistry, development of novel scaffolds for drug discovery, and the role of regulatory agencies in drug discovery. Reviews the strategies, technologies, principles, and applications of modern medicinal chemistry Provides a global and current perspective of today's drug discovery process and discusses the major therapeutic classes and targets Includes a unique collection of case studies and personal assays reviewing the discovery and development of key drugs