Optimizing the hit-to-lead process using SPR analysis

Area of Science:

• Biochemistry
• Pharmacology
• Drug Discovery

Background:

• Drug discovery involves secondary screening and lead optimization, which are critical bottlenecks.
• Traditional end-point assays provide limited information for molecule selection.
• Label-free technologies offer potential solutions for streamlining these processes.

Purpose of the Study:

• To highlight the role of Surface Plasmon Resonance (SPR) biosensors in overcoming drug discovery bottlenecks.
• To demonstrate how SPR can provide kinetic data for enhanced lead optimization.
• To showcase the advantages of SPR over traditional assays in candidate molecule selection.

Main Methods:

• Utilizing Surface Plasmon Resonance (SPR) biosensors for label-free analysis of biomolecular interactions.
• Generating kinetic data on binding characteristics, including affinity, specificity, and kinetics (association/dissociation rates).
• Integrating SPR into the hit-to-lead process for comprehensive data acquisition.

Main Results:

• SPR biosensors provide quantitative kinetic data on lead compound-target interactions.
• Advanced SPR systems offer deeper insights than traditional end-point assays.
• SPR facilitates informed decision-making in selecting drug candidates for preclinical development.

Conclusions:

• SPR is a powerful tool for streamlining secondary screening and lead optimization in drug discovery.
• SPR biosensors enable more informed selection of drug candidates by providing detailed kinetic and binding information.
• The application of SPR extends to quantitative structure-activity relationship analysis and predictive ADMET evaluations.