Crystal Structure of the KIF5C Motor Domain With ADP

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Contents

Introduction

The ADP-bound structure of KIF5C defines a critical intermediate in its ATPase cycle. It captures the motor in a state where nucleotide retention, destabilisation, and eventual release are governed by precise movements within the switch regions and nearby helices.

You may include any references to papers as in: the use of JSmol in Proteopedia [1] or to the article describing Jmol [2] to the rescue.

Nucleotide Pocket Configuration

Switch II and the neck-linker remain arranged similarly to ATP-like kinesin states, but switch I is shifted outward. This displacement rotates helix α3, moving L9 away from the pocket and disrupting the Arg191–Asp232 Mg-stabiliser. Without this stabiliser, Mg-ADP becomes inherently unstable, priming the motor for microtubule-stimulated nucleotide exchange.

Contrast With MT-Bound Conformations

When KIF5C binds GTP-state GMPCPP microtubules, the motor undergoes a coordinated conformational tightening, switch I closes, α4 rotates inward, L11 elongates to wedge between α4 and α6, and the neck-linker begins docking. These transitions are absent in the ADP structure and define the rigour-like, strong-binding state required for rapid ADP release.

Functional Relevance of L11

L11, flexible and undocked in the ADP state, emerges as a central determinant of microtubule nucleotide-state sensing. Mutations in L11 abolish KIF5C’s preference for GTP-state microtubules and reduce MT-activated ATPase activity.

Conclusion

The ADP structure provides a mechanistic baseline, clarifying how GTP-state microtubule recognition reshapes the KIF5C motor into its force-generating form. Because GTP-state lattices are enriched in axons relative to dendrites, this structural preference directly explains why KIF5C selectively enters axons and not dendrites. Accordingly, the ADP-bound conformation represents a primed intermediate that supports polarised neuronal transport upon recognition of the appropriate microtubule substrate.

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References

  1. Hanson, R. M., Prilusky, J., Renjian, Z., Nakane, T. and Sussman, J. L. (2013), JSmol and the Next-Generation Web-Based Representation of 3D Molecular Structure as Applied to Proteopedia. Isr. J. Chem., 53:207-216. doi:http://dx.doi.org/10.1002/ijch.201300024
  2. Herraez A. Biomolecules in the computer: Jmol to the rescue. Biochem Mol Biol Educ. 2006 Jul;34(4):255-61. doi: 10.1002/bmb.2006.494034042644. PMID:21638687 doi:10.1002/bmb.2006.494034042644

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