Dataset DZNE-2024-01345

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Dataset: AlphaFold3 model of G nucleotide-bound LRRK2 phospho-T1343, v1



2024
Zenodo

Zenodo () [10.5281/zenodo.11242230]

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Abstract: AlphaFold3 model of LRRK2-pT1343 either bound to GDP/Mg or GTP/Mg. Using AlphaFold3 (Abramson et al., 2024), we modeled and compared the GDP vs the GTP-state of phospho-T1343 LRRK2. Interestingly, the AlphaFold3 model suggests, that the phosphate group of the pT1343 residue is orientated inwards thereby substituting the gamma phosphate of the GTP in the GDP-bound state of LRRK2. This finding is in well agreement with MD simulations published recently (Stormer et al., 2023).

Keyword(s): structural modeling ; LRRK2


Contributing Institute(s):
  1. Functional Neuroproteomics and Translational Biomarkers in Neurodegenerative Diseases (AG Gloeckner)
Research Program(s):
  1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2024
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The record appears in these collections:
Document types > Other Resources > Datasets
Institute Collections > TÜ DZNE > TÜ DZNE-AG Gloeckner
Public records
Publications Database

 Record created 2024-11-19, last modified 2024-11-28



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