Conserved binding site in the N-lobe of prokaryotic MATE transporters suggests a role for Na+ in ion-coupled drug efflux.
Steven CastellanoDerek P ClaxtonEmel FiciciTsukasa KusakizakoRobyn StixWenchang ZhouOsamu NurekiHassane S MchaourabJosé D Faraldo-GómezPublished in: The Journal of biological chemistry (2021)
In both prokaryotes and eukaryotes, multidrug and toxic-compound extrusion (MATE) transporters catalyze the efflux of a broad range of cytotoxic compounds, including human-made antibiotics and anticancer drugs. MATEs are secondary-active antiporters, i.e. their drug-efflux activity is coupled to, and powered by, the uptake of ions down a pre-existing transmembrane electrochemical gradient. Key aspects of this mechanism, however, remain to be delineated, such as its ion specificity and stoichiometry. We previously revealed the existence of a Na+-binding site in a MATE transporter from Pyroccocus furiosus (PfMATE) and hypothesized that this site might be broadly conserved among prokaryotic MATEs. Here, we evaluate this hypothesis by analyzing VcmN and ClbM, which along with PfMATE are the only three prokaryotic MATEs whose molecular structures have been determined at resolutions better than 3 Å. Analysis of available crystallographic data and molecular dynamics simulations indeed reveal an occupied Na+-binding site in the N-terminal lobe of both structures, analogous to that identified in PfMATE. We likewise find this site to be strongly selective against K+, suggesting it is mechanistically significant. Consistent with these computational results, DEER spectroscopy measurements for multiple doubly-spin-labeled VcmN constructs demonstrate Na+-dependent changes in protein conformation. The existence of this binding site in three MATE orthologs implicates Na+ in the ion-coupled drug-efflux mechanisms of this class of transporters. These results also imply that observations of H+-dependent activity stem either from a site elsewhere in the structure, or from H+ displacing Na+ under certain laboratory conditions, as has been noted for other Na+-driven transport systems.
Keyphrases
- molecular dynamics simulations
- high resolution
- transcription factor
- endothelial cells
- gold nanoparticles
- computed tomography
- small molecule
- single cell
- genome wide
- machine learning
- electronic health record
- adverse drug
- binding protein
- artificial intelligence
- deep learning
- molecular docking
- density functional theory
- mass spectrometry
- pet ct
- simultaneous determination
- molecularly imprinted
- data analysis