Skip to main content

Molecular lipophilicity descriptors: a multivariate analysis

  • Chapter
Molecular Modeling and Prediction of Bioactivity

Abstract

The importance of lipophilicity in QSAR and drug design demands for the availability of quick, precise and reproducible experimental approaches to quantify this physico-chemical property. The Hansch group introduced the determination of log P in the octanol-water system as the standard. The need to derive lipophilicity data for steadily increasing numbers of compounds initiated the search for both experimental and computational alternatives to octanol-water partitioning. Calculation approaches are either atom-based or use fragments; in recent time attention is paid to the impact of 3D-aspects on lipophilicity. Application of calculation approaches demands a validity check with experimental data. In this study 2 experimental (log Poct, RMW) and 17 calculation approaches (fragmental, atom-based, based on molecular properties) are investigated by regression and principal component analysis (PCA) for 159 molecules including simple structures and more complex drugs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hansch, C., Leo, A. and Hoekman, D., Exploring QSAR. Hydrophobic, Electronic, and Steric Constants. American Chemical Society, Washington, DC, 1995

    Google Scholar 

  2. Mannhold, R., Dross, K. and Rekker, R.F., Quant. Struct.-Act. Relat. 9 (1990) 21.

    Article  CAS  Google Scholar 

  3. Mannhold, R., Rekker, R.F., Sonntag, C., ter Laak, A.M., Dross, K. and Polymeropoulos, E.E., J. Pharm. Sci. 84 (1995) 1410

    Article  CAS  Google Scholar 

  4. Taylor, P.J. and Cruickshank, J.M., J. Pharm. Pharmacol. 37 (1985) 143

    CAS  Google Scholar 

  5. Dross, K., Sonntag, Ch. and Mannhold, R., J. Chromatogr. A 638 (1993) 287

    Google Scholar 

  6. Dross, K., Sonntag, Ch. and Mannhold, R., J. Chromatogr. A 673 (1994) 113

    Article  CAS  Google Scholar 

  7. Baroni, M., Costantino, G., Cruciani, G., Riganelli, D., Valigi, R. and Clementi, S. Quant. Struct.-Act. Relat. 12 (1993) 9.

    Article  CAS  Google Scholar 

  8. Wold, S., University of Umeå., 1983

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer Science+Business Media New York

About this chapter

Cite this chapter

Mannhold, R., Cruciani, G. (2000). Molecular lipophilicity descriptors: a multivariate analysis. In: Gundertofte, K., Jørgensen, F.S. (eds) Molecular Modeling and Prediction of Bioactivity. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4141-7_33

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-4141-7_33

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6857-1

  • Online ISBN: 978-1-4615-4141-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics