Profiling drug–protein interactions is critical
for understanding
a drug’s mechanism of action and predicting the possible adverse
side effects. However, to comprehensively profile drug–protein
interactions remains a challenge. To address this issue, we proposed
a strategy that integrates multiple mass spectrometry-based omics
analysis to provided global drug–protein interactions, including
physical interactions and functional interactions, with rapamycin
(Rap) as a model. Chemoproteomics profiling reveals 47 Rap binding
proteins including the known target protein FKBP12 with high confidence.
Gen Ontology enrichment analysis suggested that the Rap binding proteins
are implicated in several important cellular processes, such as DNA
replication, immunity, autophagy, programmed cell death, aging, transcription
modulation, vesicle-mediated transport, membrane organization, and
carbohydrate and nucleobase metabolic processes. The phosphoproteomics
profiling revealed 255 down-regulated and 150 up-regulated phosphoproteins
responding to Rap stimulation; they mainly involve the PI3K-Akt-mTORC1
signaling axis. Untargeted metabolomic profiling revealed 22 down-regulated
metabolites and 75 up-regulated metabolites responding to Rap stimulation;
they are mainly associated with the synthesis processes of pyrimidine
and purine. The integrative multiomics data analysis provides deep
insight into the drug–protein interactions and reveals Rap’s
complicated mechanism of action.