Describes molecular connectivity as a structure-based approach to biological quantitative structure activity (QSAR). Significant advances which have occured over the last 10 years in methodology and its signifiance are covered along with more recent advances in the area of electronic description Some examples of quantitative structure-activity relationships are presented which reveal the value of the method in biological studies. New research is presented, particularly in the areas of shape definition, aromaticity, and molecular flexibility.

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.

Molecular Connectivity In Chemistry And Drug Research ...

Topological Indices and Related Descriptors in QSAR and QSPAR reviews the state of the art in this field and highlights the important advances in the generation of descriptors calculated directly from the structure of molecules. This long-awaited comprehensive book provides all the necessary information to calculate and use these descriptors for deriving structure-activity and structure-property relationships. Written by leading experts in the field, this book discusses the physicochemical significance, strengths, and weaknesses of these indices and presents numerous examples of applications. This book will be a valuable reference for anyone involved in the use of QSAR and QSPAR in the pharmaceutical, applied chemical, and environmental sciences. It is also suitable for use as a supplementary textbook on related graduate level courses.

Quantitative studies on structure-activity and structure-property relationships are powerful tools in directed drug research. In recent years, various strategies have been developed to characterize and classify structural patterns by means of molecular descriptors. It has become possible not only to assess diversities or similarities of structure databases, but molecular descriptors also facilitate the identification of potential bioactive molecules from the rapidly increasing number of compound libraries. They even allow for a controlled de-novo design of new lead structures. This is the most comprehensive collection of molecular descriptors and presents a detailed review from the origins of this research field up to present day. This practically oriented reference book gives a thorough overview of the different molecular descriptors representations and their corresponding molecular descriptors. All descriptors are listed with their definition, symbols and labels, formulas, some numerical examples, data and molecular graphs, while numerous figures and tables aid comprehension of the definitions. Cross-references throughout, a list of acronyms and notations allow easy access to the information needed to solve a specific research problem. Examples of descriptor calculations along with tables of descriptor values for a set of selected reference compounds and an up-to-date reference list add to the practical value of the book, making it an invaluable guide for all those dealing with bioactive molecules as well as for researchers.

The number-one reference on the topic now contains a wealth of new data: The entire relevant literature over the past six years has been painstakingly surveyed, resulting in hundreds of new descriptors being added to the list, and some 3,000 new references in the bibliography section. Volume 1 contains an alphabetical listing of more than 3300 descriptors and related terms for chemoinformatic analysis of chemical compound properties, while the second volume lists over 6,000 references selected from 450 journals. To make the data even more accessible, the introductory section has been completely re-written and now contains several "walk-through" reading lists of selected keywords for novice users.