Advances in Molecular Similarity, Volume 2

Carbó-Dorca, R.; Mezey, P.G.

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Table of contents
  • Cover
  • CONTENTSv
  • LIST OF CONTRIBUTORSvii
  • PREFACExi
  • CHAPTER 1. QUANTUM SIMILARITY1
  • CHAPTER 2. FUZZY SETS AND BOOLEAN TAGGED SETS; VECTOR SEMISPACES AND CONVEX SETS; QUANTUM SIMILARITY43
  • CHAPTER 3. PATTERN RECOGNITION TECHNIQUES IN MOLECULAR SIMILARITY73
  • CHAPTER 4. TOPOLOGY AND THE QUANTUM CHEMICAL SHAPE CONCEPT79
  • CHAPTER 5. STRUCTURAL SIMILARITY ANALYSIS BASED ON TOPOLOGICAL FRAGMENT SPECTRA93
  • CHAPTER 6. ANALYSIS OF THE TRANSFERABILITY OF SIMILARITY CALCULATIONS FROM SUBSTRUCTURES TO COMPLEX105
  • CHAPTER 7. SIMILARITY IN ORGANIC SYNTHESIS DESIGN: COMPARING THE SYNTHESES OF DIFFERENT COMPOUNDS137
  • CHAPTER 8. BROWSABLE STRUCTURE–ACTIVITY DATASETS153
  • CHAPTER 9. CHARACTERIZATION OF THE MOLECULAR SIMILARITY OF CHEMICALS USING TOPOLOGICAL INVARIANTS171
  • CHAPTER 10. OPTIMIZING HYBRID DENSITY FUNCTIONALS BY MEANS OF QUANTUM MOLECULAR SIMILARITY TECHNIQUE187
  • CHAPTER 11. ATOMIC SIMILARITY THROUGH A NEURAL NETWORK: SELF-ASSOCIATIVE PERIODIC TABLE OF ELEMENTS205
  • CHAPTER 12. COMPARISON OF QUANTUM SIMILARITY MEASURES DERIVED FROM ONE-ELECTRON, INTRACULE, AND EXTR215
  • CHAPTER 13. THE COMPLEMENTARITY PRINCIPLE AND ITS USES IN MOLECULAR SIMILARITY AND RELATED ASPECTS245
  • CHAPTER 14. CORRELATIONS AND APPLICATIONS OF THE CIRCUMSCRIBING/EXCISED INTERNAL STRUCTURE CONCEPT259
  • CHAPTER 15. LEAST-SQUARES AND NEURAL-NETWORK FORECASTING FROM CRITICAL DATA: DIATOMIC MOLECULAR re A265
  • INDEX289
Book details
  • Vendor Elsevier S & T
  • SKU 9780762302581
  • ISBN-13 9780080552262
  • Author Carbó-Dorca, R.; Mezey, P.G.
  • Category Science
  • Subject Physical & Theoretical

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This volume highlights some of the advances in molecular similarity. Molecular similarity research is a dynamic field where the rapid transfer of ideas and methodologies from the theoretical, quantum chemical and mathematical chemistry disciplines to efficient algorithms and computer programs used in industrially important applications is especially evident. These applications often serve as motivating factors toward new advances in the fundamental and theoretical fields, and the combination of intellectual challenge and practical utility provides mutual advantages to theoreticians and experimentalists. The aim of this volume is to present an overview of the current methodologies of molecular similarity studies, and to point out new challenges, unsolved problems, and areas where important new advances can be expected.