Oral Presentation 27th Annual Lorne Proteomics Symposium 2022

Thermal stability proteomics identifies protein targets for antimalarial compounds (#7)

Matthew P Challis 1 , Ghizal Siddiqui 1 , Amanda De Paoli 1 , Raymond S Norton 2 , Peter J Scammells 2 , Sheena McGowan 3 , Shane M Devine 2 , Darren J Creek 1
  1. Drug delivery, disposition and dynamics (D4), Monash Institute of Pharmaceutical Sciences, Melbourne, Victoria, Australia
  2. Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Melbourne, Victoria, Australia
  3. Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia

An emerging technique for the identification of protein targets for novel drug candidates is Thermal Stability Proteomics (TSP). Thermal Stability Proteomics takes advantage of the thermal stabilisation that occurs when a protein is bound by a compound. This allows target proteins to be identified from a complex proteome following a thermal challenge, and is particularly useful for compounds that act by an unknown mode of action. Our TSP methodology takes advantage of a Data Independent Acquisition Mass Spectrometry (DIA-MS) approach to protein analysis, which utilises a comprehensive spectral library of over 3,000 P. falciparum proteins to perform a highly reproducible, label-free quantification of both high and low abundance parasite proteins, more efficiently than traditional label-based proteomics methods.

We’ve applied our TSP-DIA-MS approach to antimalarial compounds. First, we validated our method with the well-studied antimalarial pyrimethamine, identifying stabilisation of its known target, dihydrofolate reductase thymidylate-synthase, from a detected proteome of 1428 proteins. Subsequently, this approach was applied to a novel class of hydroxamic acid aminopeptidase inhibitors, designed to target the M1 and M17 aminopeptidases. Stabilisation of both the M1 and M17 aminopeptidases was observed amongst a shortlist of proteins. Finally, our TSP-DIA-MS approach was applied to a novel class of aminobenzimidazoles, which possess an unknown mechanism of action. From two TSP experiments, we identified a shortlist of stabilised proteins which warrant further investigation. This study demonstrates the potential of TSP-DIA-MS as an efficient method for the identification of binding targets for novel antimalarial compounds, and how it may applicable for other target identification programs.