Next Article in Journal
Organic Synthesis on Solid Phase. By Florencio Zaragoza Dörwald
Previous Article in Journal
Classics in Hydrocarbon Chemistry. By Henning Hopf
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
New Book Received

Pharmacophore Perception, Development and Use in Drug Design. Edited by Osman F. Güner

Molecular Diversity Preservation International (MDPI), Saengergasse 25, CH-4054 Basel, Switzerland
Molecules 2000, 5(7), 987-989;
Submission received: 5 July 2000 / Published: 26 July 2000
The book entitiled Pharmacophore Perception, Development, and Use in Drug Design, which has been just released [1], is the first monograph dedicated to the topic of the pharmacophore. It is authored by 56 experts [2] in the fields of computational chemistry and chemo- and bioinformatics. The first chapter stes the tone for the volume by giving a very interesting account of the evolution of the concepts of pharmacophore and related terms such as chromophore, chemotherapy (p.6), topological patterns of molecules, drug-receptor interaction (p.7), ligand-receptor binding, topographic patterns (p.8) and so on.
Below is the Table of Contents:
  • Preface. By O.F.Güner
  • Part I: The Origins of Pharmacophore Research
  • 1. Evolution of the Pharmacophore Concept in Pharmaceutical Research. By P.Gund Part II: Analog-Based Pharmacophores
  • 2. Manual Pharmacophore Generation: Visual Pattern Recognition. By O.F.Güner
  • 3. Pharmacophore Definition Using the Active Analog Approach. By D.D.Beusen, G.R.Marshall
  • Automated Pharmacophore Development Systems
  • 4. DISCO: What We Did Right and What We Missed. By Y.C.Martin
  • 5. HipHop: Pharmacophores Based on Multiple Common-Feature Alignments. By O.A.Clement, A.T.Mehl
  • 6. GASP: Genetic Algorithm Superposition Program. By G.Jones, P.Willett, R.C.Glen
  • 7. Exploring Pharmacophores with Chem-X. By S.J.Cato Predictive Model Development - 3D QSAR
  • 8. Apex-3D: Activity Prediction Expert System with 3D QSAR. By E.R.Vorpagel, V.E.Golander
  • 9. Pharmacophore Models and Comparative Molecular Field Analysis (CoMFA) R.D.Clark, J.M.Leonard, A.Strizhev
  • 10. HypoGen: An Automated System for Generating Predictive 3D Pharmacophore Models. By H.Li, J.M.Sutter, R.Hoffmann Applications in Drug Design
  • 11. Metric for Analyzing Hit Lists and Pharmacophores. By O.F.Güner, D.R.Henry
  • 12. Strategies in Database Mining and Pharmacophore Development. By O.F.Güner, M.Waldman, R.Hoffmann, J-H.Kim
  • 13. Pharmacophore Modeling by Automated Methods: Possibilities and Limitations. By M.Langgård, B.Bjørnholm, K.Gundertofte
  • 14. Database Mining Using Pharmacophore Models to Discover Novel Structural Prototypes. By J.J.Kaminski, D.F.Rane, M.L.Rothofsky
  • 15. Predicting Drug-Drug Interactions in Silico using Pharmacophores: A Paradigm for the Next Millenium. By S.Ekins, B.J.Ring, G.Bravi, J.H.Wikel, S.A.Wrighton
  • 16. Feature-Based Pharmacophores: Applications to Some Biological Systems. By R.Hoffmann, H.Li, T.Langer
  • 7. The Design and Pharmacophore Definition of Retinoid-X-Receptor Specific. By Ligands S.K.White
  • Part III: Receptor-Based Pharmacophores
  • 18. Receptor-based Pharmacophore Perception and Modeling. By C.M.Venkatachalam, P.Kirchhoff, M.Waldman
  • 19. Pharmacophore-Based Molecular Docking. By B.E.ThomasIV, D.Joseph-McCarthy, J.C.Alvarez
  • Applications in Drug Design
  • 20. The Use of Multiple Excluded Volumes Derived from X-Ray Crystallographic Structures in 3D Database Searching and 3D-QSAR. By M.Gillner, P.Greenidge
  • 21. Docking-Derived Pharmacophores from Models of Receptor-Ligand Complexes R.Griffith, J.B.Bremner, B.Coban
  • 22. Technique for Developing a Pharmacophore Model That Accommodates Inherent Protein Flexibility: An Application to HIV-1 Integrase. By K.M.Masukawa, H.A.Carlson, J.A.McCammon
  • Part IV: New Algorithms in Pharmacophore Development
  • 23. Pharmacophores Derived from the 3D Substructure Perception. By S.Handshuh, J.Gasteiger
  • 24. The Electron-Conformational Method of Identification of Pharmacophore and Anti- Pharmacophore Shielding. By I.B.Bersuker, S.Bahceci, J.E.Boggs
  • 25. Development and Optimization of Property-Based Pharmacophores. By A.G.Ozkabak, M.A.Miller, D.R.Henry, O.F.Güner
  • 26. Effect of Variable Weights and Tolerances on Predictive Model Generation. By J.M.Sutter, O.F.Güner, R.Hoffmann, M.Waldman
  • Part V: The Future of Pharmacophore Research
  • 27. Future Directions in Pharmacophore Discovery. By J.H.VanDrie


We are grateful to the publisher Dr. Igor Tsigelny ([email protected]) for his kind assistance.

References and Notes

  1. It should appear in Barnes & Noble and Amazon sites. Meanwhile you can contact the publisher for a copy at [email protected].
  2. The full addresses and e-mails of these 56 authors are listed together in this book.
  • *Editor’s Note: The brief summary and the contents of the books are reported as provided by the author or the publishers. Authors and publishers are encouraged to send review copies of their recent books of potential interest to readers of Molecules to the Editor-in-Chief (Dr. Shu-Kun Lin, MDPI, Saengergasse 25, CH-4054 Basel, Switzerland. Tel. +41 79 322 3379, Fax +41 61 302 8918, E-mail: [email protected]). Some books will be offered to the scholarly community for the purpose of preparing full-length reviews.

Share and Cite

MDPI and ACS Style

Lin, S.-K. Pharmacophore Perception, Development and Use in Drug Design. Edited by Osman F. Güner. Molecules 2000, 5, 987-989.

AMA Style

Lin S-K. Pharmacophore Perception, Development and Use in Drug Design. Edited by Osman F. Güner. Molecules. 2000; 5(7):987-989.

Chicago/Turabian Style

Lin, Shu-Kun. 2000. "Pharmacophore Perception, Development and Use in Drug Design. Edited by Osman F. Güner" Molecules 5, no. 7: 987-989.

Article Metrics

Back to TopTop