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Multi-parameter optimization: identifying high quality compounds with a balance of properties.

Matthew D Segall1

  • 1Optibrium Ltd., Beach Drive, Cambridge, UK. matt.segall@optibrium.com

Current Pharmaceutical Design
|February 10, 2012
PubMed
Summary

Multi-parameter optimization (MPO) balances drug properties like potency, ADME, and safety. This review explores MPO methods to efficiently design high-quality drug candidates, reducing attrition in drug discovery.

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Area of Science:

  • Medicinal Chemistry
  • Pharmacology
  • Computational Chemistry

Background:

  • Drug discovery requires balancing multiple properties, including potency, absorption, distribution, metabolism, and elimination (ADME), and safety.
  • Optimizing these often conflicting parameters presents a significant challenge in developing successful therapeutics.

Purpose of the Study:

  • To review multi-parameter optimization (MPO) strategies for efficient drug design.
  • To describe various MPO methods used in drug discovery.
  • To explore the application of MPO in reducing attrition and enhancing drug discovery productivity.

Main Methods:

  • Review of established and emerging MPO techniques.
  • Discussion of simple heuristics like Lipinski's rule.
  • Exploration of desirability functions, Pareto optimization, and probabilistic approaches.
  • Analysis of MPO application to both predicted and experimental data.

Main Results:

  • MPO provides a framework for systematically addressing complex optimization challenges in drug design.
  • Various MPO methods offer different approaches to balancing multiple drug properties.
  • Application of MPO can lead to the selection of higher quality compounds.
  • MPO aids in mitigating risks associated with predictive errors and experimental variability.

Conclusions:

  • Multi-parameter optimization is crucial for the efficient design and selection of drug candidates.
  • A range of MPO methodologies exist, catering to different aspects of the drug discovery process.
  • Implementing MPO strategies can significantly improve the success rate and productivity of drug discovery efforts.