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Related Experiment Videos

Predicting and tuning physicochemical properties in lead optimization: amine basicities.

Martin Morgenthaler1, Eliane Schweizer, Anja Hoffmann-Röder

  • 1Laboratorium für Organische Chemie, ETH Zürich, HCI, Hönggerberg, 8093 Zürich, Switzerland.

Chemmedchem
|May 29, 2007
PubMed
Summary
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This review offers simple rules for predicting and tuning the acid-base properties (pK(a)) of amine groups. These concepts are vital for optimizing drug candidates and other chemical applications.

Area of Science:

  • Medicinal Chemistry
  • Organic Chemistry
  • Computational Chemistry

Background:

  • Amine pK(a) values are critical for optimizing drug properties.
  • Tuning amine basicity is essential in drug discovery and development.
  • Existing methods for pK(a) prediction and tuning can be complex.

Purpose of the Study:

  • To present simple, practical concepts for predicting and tuning amine pK(a) values.
  • To provide a systematic analysis of substituent effects on amine basicity.
  • To survey emerging computational approaches for pK(a) prediction.

Main Methods:

  • Case study of tricyclic thrombin inhibitors to demonstrate pK(a) tuning.
  • Systematic analysis of substituent effects (F, O, N, S, carbonyl, carboxyl) on amine pK(a).

Related Experiment Videos

  • Discussion of electronic and stereoelectronic effects in cyclic amines.
  • Brief survey of computational methods for pK(a) prediction.

    • Main Results:

    • Demonstrated wide-range tuning of tertiary amine pK(a) values (from ~10 to <2) using neighboring functionalities.
    • Derived simple rules for predicting amine pK(a) based on substituent analysis.
    • Highlighted the impact of electronic and stereoelectronic factors on cyclic amine basicity.

    Conclusions:

    • The derived rules offer straightforward guidance for predicting and tuning amine pK(a).
    • These findings are applicable to drug discovery, crop protection, ligand design, and organocatalysis.
    • Simple concepts for pK(a) prediction enhance the optimization of chemical properties.