Functional Implications of the Conformational Landscape of a Multidrug Transporter Revealed by Structures of Zebrafish Abcb4
Zhan, J.; Hsieh, C.-M.; Esser, L.; Lang, Z. C.; Morton, A. J.; Robey, R. W.; Zhou, F.; Ambudkar, S. V.; Huang, R. K.; Gottesman, M. M.; Xia, D.
Show abstract
The hallmark of multidrug resistance conferred by human ABC transporter ABCB1 (hP-gp) is the recognition and efflux of diverse range of drugs, though the precise mechanism of polyspecificity remains unresolved. In aquatic animals such as zebrafish, Abcb4, a functional homolog to hP-gp, plays a vital role in surviving environmental toxicants. Here, we show that Abcb4 exhibits comparable basal and drug-stimulated ATPase activity to hP-gp. Using cryo-EM, we captured five inward-facing Abcb4 conformations with varying separations between its two lobes, illustrating its open-and- close motion. The range of separation exceeds that seen in published P-gp structures that appear to be conformationally restricted. This global open-and-close motion is coupled with individual helix movement, resulting in a highly fluid substrate-binding pocket. These dynamic changes, likely underlying the polyspecificity of substrate recognition, predict unconventional protein-ligand interactions that are supported by structures of Abcb4 bound to the P-gp inhibitors tariquidar and elacridar, and the substrate vincristine.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conformational plasticity across phylogenetic clusters of RND multidrug efflux pumps and its impact on substrate specificity 97%
- Asymmetric conformations and lipid interactions shape the ATP-coupled cycle of a heterodimeric ABC transporter 97%
- Structures of ABCG2 under turnover conditions reveal a key step in drug transport mechanism 97%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.