Structural Basis for the Calmodulin-Mediated Activation of eEF-2K
Piserchio, A.; Isiroho, E. A.; Long, K.; Bohanon, A. L.; Kumar, E. A.; Will, N.; Jeruzalmi, D.; Dalby, K. N.; Ghose, R.
Show abstract
Translation is a highly energy consumptive process1 tightly regulated for optimal protein quality2 and adaptation to energy and nutrient availability. A key facilitator of this process is the -kinase eEF-2K that specifically phosphorylates the GTP-dependent translocase eEF-2, thereby reducing its affinity for the ribosome and suppressing the elongation phase of protein synthesis3,4. eEF-2K activation requires calmodulin binding and auto-phosphorylation at the primary stimulatory site, T348. Biochemical studies have predicted that calmodulin activates eEF-2K through a unique allosteric process5 mechanistically distinct from other calmodulin-dependent kinases6. Here we resolve the atomic details of this mechanism through a 2.3 [A] crystal structure of the heterodimeric complex of calmodulin with the functional core of eEF-2K (eEF-2KTR). This structure, which represents the activated T348-phosphorylated state of eEF-2KTR, highlights how through an intimate association with the calmodulin C-lobe, the kinase creates a "spine" that extends from its N-terminal calmodulin-targeting motif through a conserved regulatory element to its active site. Modification of key spine residues has deleterious functional consequences.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Structure, activity and inhibition of human TMPRSS2, a protease implicated in SARS-CoV-2 activation 98%
- Structural insight into the formation of lipoprotein-β-barrel complexes by the β-barrel assembly machinery 97%
- Structural snapshots along K48-linked ubiquitin chain formation by the HECT E3 UBR5 97%
"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.