Cofactor-independent phosphoglycerate mutase from nematodes has limited druggability, as revealed by two

Gregory J Crowther1, Michael L Booker2, Min He3

  • 1Division of Allergy & Infectious Diseases, University of Washington, Seattle, Washington, United States of America.

Insights

Cofactor-independent phosphoglycerate mutase (iPGAM) from parasitic worms is a potential drug target, but high-throughput screening revealed limited druggability. This highlights challenges in predicting target suitability for drug discovery.

Area of Science:

  • Biochemistry
  • Parasitology
  • Drug Discovery

Background:

  • Cofactor-independent phosphoglycerate mutase (iPGAM) is crucial for nematode survival but absent in humans, making it a potential drug target for diseases like lymphatic filariasis (LF).
  • The small, hydrophilic active site of iPGAM raises questions about its druggability, suggesting allosteric inhibition as an alternative approach.

Purpose of the Study:

  • To comprehensively assess the druggability of nematode iPGAMs as potential drug targets.
  • To identify novel inhibitors for parasitic nematode iPGAMs through high-throughput screening (HTS).

Main Methods:

  • Conducted HTS of approximately 220,000 compounds against *C. elegans* iPGAM and 160,000 compounds against *Brugia malayi* iPGAM.
  • Utilized a coupled enzyme assay monitoring NADH consumption via absorbance at 340 nm, demonstrating good assay performance (Z'-factor >0.50).

Main Results:

  • Identified two novel chemical inhibitors with modest potency (IC50 >10 µM) against *B. malayi* iPGAM.
  • The identified inhibitors were singleton hits, lacking a common scaffold, indicating limited initial success in finding potent drug leads.

Conclusions:

  • Nematode iPGAMs exhibit low druggability, posing significant challenges for their development as drug targets despite their biological importance.
  • This study exemplifies the 'druggability paradox' in target-based drug discovery, where initial druggability assessments are often necessary but difficult to predict without HTS data.

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