Coupling proteomics and metabolomics for the unsupervised identification of protein–metabolite interactions in Chaetomium thermophilum

Protein–metabolite interactions play an important role in the cell’s metabolism and many methods have been developed to screen them vitro . However, few can be applied at a large scale not alter biological state. Here we describe proteometabolomic approach, using chromatography generate cell fractions which are then analyzed with mass spectrometry for both protein metabolite identification. Integrating proteomic metabolomic analyses makes it possible identify protein-bound metabolites. Applying concept thermophilic fungus Chaetomium thermophilum , predict 461 likely protein-metabolite interactions, most of novel. As proof principle, experimentally validate predicted interaction between ribosome isopentenyl adenine.