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AlphaFold-assisted structure determination of a bacterial protein of unknown function using X-ray and electron crystallography.


ABSTRACT: Macromolecular crystallography generally requires the recovery of missing phase information from diffraction data to reconstruct an electron-density map of the crystallized molecule. Most recent structures have been solved using molecular replacement as a phasing method, requiring an a priori structure that is closely related to the target protein to serve as a search model; when no such search model exists, molecular replacement is not possible. New advances in computational machine-learning methods, however, have resulted in major advances in protein structure predictions from sequence information. Methods that generate predicted structural models of sufficient accuracy provide a powerful approach to molecular replacement. Taking advantage of these advances, AlphaFold predictions were applied to enable structure determination of a bacterial protein of unknown function (UniProtKB Q63NT7, NCBI locus BPSS0212) based on diffraction data that had evaded phasing attempts using MIR and anomalous scattering methods. Using both X-ray and micro-electron (microED) diffraction data, it was possible to solve the structure of the main fragment of the protein using a predicted model of that domain as a starting point. The use of predicted structural models importantly expands the promise of electron diffraction, where structure determination relies critically on molecular replacement.

SUBMITTER: Miller JE 

PROVIDER: S-EPMC10994174 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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AlphaFold-assisted structure determination of a bacterial protein of unknown function using X-ray and electron crystallography.

Miller Justin E JE   Agdanowski Matthew P MP   Dolinsky Joshua L JL   Sawaya Michael R MR   Cascio Duilio D   Rodriguez Jose A JA   Yeates Todd O TO  

Acta crystallographica. Section D, Structural biology 20240307 Pt 4


Macromolecular crystallography generally requires the recovery of missing phase information from diffraction data to reconstruct an electron-density map of the crystallized molecule. Most recent structures have been solved using molecular replacement as a phasing method, requiring an a priori structure that is closely related to the target protein to serve as a search model; when no such search model exists, molecular replacement is not possible. New advances in computational machine-learning me  ...[more]

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