Mathematical Chemistry and Chemoinformatics
eBook - PDF

Mathematical Chemistry and Chemoinformatics

Structure Generation, Elucidation and Quantitative Structure-Property Relationships

  1. 520 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Mathematical Chemistry and Chemoinformatics

Structure Generation, Elucidation and Quantitative Structure-Property Relationships

About this book

  • 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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Yes, you can access Mathematical Chemistry and Chemoinformatics by Adalbert Kerber,Reinhard Laue,Markus Meringer,Christoph Rücker,Emma Schymanski in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2013
Print ISBN
9783110300079
eBook ISBN
9783110254075

Table of contents

  1. Preface
  2. Contents
  3. List of figures
  4. List of tables
  5. List of symbols
  6. Introduction and outline
  7. 1 Basics of graphs and molecular graphs
  8. 2 Advanced properties of molecular graphs
  9. 3 Chirality
  10. 4 Stereoisomers
  11. 5 Molecular structure generation
  12. 6 Supervised statistical learning
  13. 7 Quantitative structure–property relationships
  14. 8 Molecular structure elucidation
  15. 9 Case studies of CASE
  16. A Lists of molecular descriptors
  17. B Substructures for MS classifiers
  18. C Molecular formulas by mass and ion type
  19. D Isomers by mass and molecular formula
  20. Bibliography
  21. List of abbreviations
  22. Index