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Solving the structure of Lgl2, a difficult blind test of unsupervised structure determination.

Ivan S UfimtsevLior AlmagorWilliam I WeisMichael Levitt
Published in: Proceedings of the National Academy of Sciences of the United States of America (2019)
In the companion paper by Ufimtsev and Levitt [Ufimtsev IS, Levitt M (2019) Proc Natl Acad Sci USA, 10.1073/pnas.1821512116], we presented a method for unsupervised solution of protein crystal structures and demonstrated its utility by solving several test cases of known structure in the 2.9- to 3.45-Å resolution range. Here we apply this method to solve the crystal structure of a 966-amino acid construct of human lethal giant larvae protein (Lgl2) that resisted years of structure determination efforts, at 3.2-Å resolution. The structure was determined starting with a molecular replacement (MR) model identified by unsupervised refinement of a pool of 50 candidate MR models. This initial model had 2.8-Å RMSD from the solution. The solved structure was validated by comparison with a model subsequently derived from an alternative crystal form diffracting to higher resolution. This model could phase an anomalous difference Fourier map from an Hg derivative, and a single-wavelength anomalous dispersion phased density map made from these sites aligned with the refined structure.
Keyphrases
  • machine learning
  • amino acid
  • single molecule
  • spinal cord injury
  • magnetic resonance imaging
  • computed tomography
  • molecularly imprinted
  • protein protein
  • solid phase extraction
  • solid state
  • aqueous solution