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.
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.
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
Various emerging techniques for automating intelligent functions in the laboratory are described in this book. Explanations on how systems work are given and possible application areas are suggested. The main part of the book is devoted to providing data which will enable the reader to develop and test his own systems. The emphasis is on expert systems; however, promising developments such as self-adaptive systems, neural networks and genetic algorithms are also described. The book has been written by chemists with a great deal of practical experience in developing and testing intelligent software, and therefore offers first-hand knowledge. Laboratory staff and managers confronted with commercial intelligent software will find information on the functioning, possibilities and limitations thereof, enabling them to select and use modern software in an optimum fashion. Finally, computer scientists and information scientists will find a wealth of data on the application of contemporary artificial intelligence techniques.