Affinity-based ranking of ligands for DPP-4 from mixtures

Area of Science:

• Biochemistry and Drug Discovery
• Chemical Biology
• Enzymology

Background:

• High throughput screening (HTS) is a traditional method for identifying drug lead compounds.
• --Omics technologies are generating a vast number of novel protein targets for drug development.
• Affinity-based selection strategies offer a complementary approach to HTS for target-based drug discovery.

Purpose of the Study:

• To describe a novel method for ranking mixtures of ligands based on affinity selection.
• To apply this method for the efficient ranking of enzyme inhibitors.
• To demonstrate the utility of affinity selection for identifying lead compounds against emerging protein targets.

Main Methods:

• Development of an affinity selection-based methodology for ranking ligand mixtures.
• Application of the method to a set of dipeptidyl peptidase IV (DPP-IV) inhibitors.
• Comparative analysis of affinity selection rankings against traditional screening data.

Main Results:

• The described affinity selection method successfully ranked mixtures of ligands.
• The method provided an efficient means to order dipeptidyl peptidase IV inhibitors by affinity.
• This approach complements HTS by enabling rapid assessment of compound libraries.

Conclusions:

• Affinity-based selection is a valuable tool for accelerating lead compound discovery.
• The developed method offers a rapid and effective way to rank potential inhibitors.
• This strategy is applicable to a wide range of protein targets identified through --omics research.