Molecular Structure of LRRK2: Comparison
Please note this is a comparison between Version 1 by Arjan Kortholt and Version 2 by Conner Chen.

Mutations in the multidomain protein Leucine-rich-repeat kinase 2 (LRRK2) have been identified as a genetic risk factor for both sporadic and familial Parkinson’s disease (PD). LRRK2 has two enzymatic domains: a RocCOR tandem with GTPase activity and a kinase domain. In addition, LRRK2 has three N-terminal domains: ARM (Armadillo repeat), ANK (Ankyrin repeat), and LRR (Leucine-rich-repeat), and a C-terminal WD40 domain, all of which are involved in mediating protein–protein interactions (PPIs) and regulation of the LRRK2 catalytic core.

  • Leucine-rich-repeat kinase 2
  • Parkinson’s disease
  • structures

1. From Bacterial Roco to Human Full-Length LRRK2 Structures

Structural studies on Leucine-rich-repeat kinase 2 (LRRK2) have been ongoing for almost two decades. However, the expression of the separate LRRK2 domains and full-length protein has been a major challenge for a long time. So far, only the crystal structures of the human LRRK2 Roc and WD40 domain have been resolved [1][2][16,17]. In addition, X-ray structures are available from homologous Roco family proteins. A major breakthrough in the field of structural biology in general and for determining the LRRK2 structure has been the recent developments in electron microscopy (EM). The possibilities related to stable and higher field emission EM, a robust vitrification apparatus, a volta phase plate, faster direct electron detector, and improved data analysing software have resulted in an increase in EM-based structure publications by over 70% in the last three years [3][4][5][18,19,20]. Using these techniques in combination with optimized purification protocols for full-length LRRK2 (flLRRK2) resulted in the first low-resolution negative-stain EM models of LRRK2 in 2016 [6][7][21,22]. More recently, the structures of a construct comprising Roc-COR-Kinase-WD40 domains (LRRK2RCKW) and flLRRK2 have been reported by Cryo-EM [8][9][10][23,24,25]. In addition, with Cryo-electron tomography (Cryo-ET), an in situ microtubule-bound full-length LRRK2 structure in cells was determined [11][26]. Another breakthrough in structural biology is the DeepMind-produced 3D protein structure prediction computational method, AlphaFold2, which makes it possible to predict reliable structures based on multiple sequence alignment and pair representation algorithms in silico [12][13][27,28].
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