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The use of bioisosteric groups in lead optimization.
1Novo Nordisk A/S, Novo Nordisk Park, 2760 Maaloev, Denmark. phol@novonordisk.com
Summary
Bioisosteric replacement is a valuable strategy for optimizing drug leads. This technique refines compounds for clinical trials by enhancing target selectivity and improving pharmacokinetic properties.
Area of Science:
- Medicinal Chemistry
- Drug Discovery
- Pharmacology
Background:
- Bioisosterism, the concept of similar biological activity in structurally related compounds, was introduced by Friedman fifty years ago.
- The principle of bioisosterism has been widely applied in drug discovery for lead compound optimization.
- Recent advances in recombinant protein expression and high-throughput screening have expanded the pool of potential drug targets.
Purpose of the Study:
- To highlight the significant value of bioisosteric replacement in fine-tuning lead compounds for clinical development.
- To emphasize the utility of bioisosterism in improving drug selectivity and pharmacokinetic profiles.
- To illustrate the application of bioisosteres in lead optimization with recent literature examples.
Main Methods:
- Literature review of recent examples showcasing bioisosteric replacement in drug discovery.
- Analysis of the role of bioisosterism in optimizing lead compound properties.
- Focus on applications in enhancing target selectivity and pharmacokinetic parameters.
Main Results:
- Bioisosteric replacement is a powerful tool for optimizing lead compounds, particularly for clinical suitability.
- The strategy effectively improves selectivity for specific biological targets.
- Pharmacokinetic properties of lead compounds can be significantly enhanced through bioisosteric modifications.
Conclusions:
- Bioisosteric replacement remains a crucial and effective strategy in modern drug discovery and development.
- Its application is vital for refining drug candidates to meet the rigorous demands of clinical trials.
- The judicious use of bioisosteres contributes to the successful optimization of drug properties, including selectivity and pharmacokinetics.