Mathematical Chemistry And Chemoinformatics

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Mathematical Chemistry and Chemoinformatics

Mathematical Chemistry and Chemoinformatics
Author :
Publisher : Walter de Gruyter
Total Pages : 521
Release :
ISBN-10 : 9783110254075
ISBN-13 : 3110254077
Rating : 4/5 (077 Downloads)

Book Synopsis Mathematical Chemistry and Chemoinformatics by : Adalbert Kerber

Download or read book Mathematical Chemistry and Chemoinformatics written by Adalbert Kerber and published by Walter de Gruyter. This book was released on 2013-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 20 years of experience in molecular structure generation, from conceptualization through to applications Innovative, interdisciplinary text demonstrating example queries with software packages such as MOLGEN-online Detailed explanations on establishing QSPRs and QSARs as well as structure elucidation using mass spectrometry and structure generation. Aims and Scope This work provides an introduction to mathematical modeling of molecules and the resulting applications (structure generation, structure elucidation, QSAR/QSPR etc.). Most chemists have experimented with some software that represents molecules in an electronic form, and such models and applications are of increasing interest in diverse and growing fields such as drug discovery, environmental science and metabolomics. Furthermore, structure generation remains the only way to systematically create molecules that are not (yet) present in a database. This book starts with the mathematical theory behind representing molecules, explaining chemical concepts in mathematical terms and providing exercises that can be completed online. The later chapters cover applications of the theory, with detailed explanations on QSPR and QSAR investigations and finally structure elucidation combining mass spectrometry and structure generation. This book is aimed in particular at the users of structure generation methods and corresponding techniques, but also for those interested in teaching and learning mathematical chemistry, and for software designers in chemoinformatics.


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