A novel platform for accelerated pharmacodynamic profiling for lead optimization of anticancer drug candidates

Jeffrey Szwaya1, Charles Bruseo, Enkeleda Nakuci

  • 1ArQule Inc, Department of Molecular Oncology, Woburn, MA 01801, USA.

Insights

A new platform accelerates oncology drug discovery by efficiently characterizing hundreds of high-throughput screening (HTS) hits using Western blot assays. This innovation improves lead optimization and data quality for anticancer drug development.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • Oncology drug discovery relies heavily on high-throughput screening (HTS) for identifying anticancer leads.
  • Increased HTS efficiency has led to a bottleneck in secondary screening and pharmacodynamic profiling.
  • Characterizing numerous HTS hits requires robust and efficient assay platforms.

Purpose of the Study:

  • To implement a novel platform for efficient characterization of HTS hits using Western blot-based pharmacodynamic assays.
  • To reduce the cycle time for HTS hit evaluation in oncology drug discovery.
  • To improve the quality of data for lead optimization through structure-activity relationship development.

Main Methods:

  • Development and implementation of the Accelerated Pharmaco-Dynamic Profiler (APDP) platform.
  • Utilizing a flatbed bufferless SDS-PAGE system, dry ultra-rapid electroblotting, and infrared imaging.
  • Application of the APDP to annotate inhibitors of BRAF kinase and Hsp90.

Main Results:

  • Significant reduction in the cycle time for HTS hit evaluation.
  • Generation of higher quality data enabling improved lead optimization.
  • Successful annotation of inhibitors for key oncology targets, BRAF kinase and Hsp90.

Conclusions:

  • The APDP platform offers an efficient solution for characterizing HTS hits in oncology drug discovery.
  • This platform enhances data quality and accelerates the development of structure-activity databases.
  • The APDP facilitates the identification and optimization of novel anticancer therapeutics.

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