ArticleActa crystallographica. Section D, Structural biology2022
Verification: model-free phasing with enhanced predicted models in ARCIMBOLDO_SHREDDER.
Article in Acta crystallographica. Section D, Structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- AlphaFold-guided molecular replacement for solving challenging crystal structures.Acta crystallographica. Section D, Structural biology · 2025Article
- ARCIMBOLDO at low resolution: Verification for coiled coils and globular proteins.Protein science : a publication of the Protein Society · 2024Article
- AlphaFold two years on: Validation and impact.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Modes and model building in SHELXE.Acta crystallographica. Section D, Structural biology · 2024Article
- Article
- SARS-CoV-2 proteins structural studies using synchrotron radiation.Biophysical reviews · 2023Review
- Predicted models and CCP4.Acta crystallographica. Section D, Structural biology · 2023Article
- The CCP4 suite: integrative software for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2023Article
- Accelerating crystal structure determination with iterative AlphaFold prediction.Acta crystallographica. Section D, Structural biology · 2023Article
- CCP4 Cloud for structure determination and project management in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2022Article
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11 authors.
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Abstract
Structure predictions have matched the accuracy of experimental structures from close homologues, providing suitable models for molecular replacement phasing. Even in predictions that present large differences due to the relative movement of domains or poorly predicted areas, very accurate regions tend to be present. These are suitable for successful fragment-based phasing as implemented in ARCIMBOLDO. The particularities of predicted models are inherently addressed in the new predicted_model mode, rendering preliminary treatment superfluous but also harmless. B-value conversion from predicted LDDT or error estimates, the removal of unstructured polypeptide, hierarchical decomposition of structural units from domains to local folds and systematically probing the model against the experimental data will ensure the optimal use of the model in phasing. Concomitantly, the exhaustive use of models and stereochemistry in phasing, refinement and validation raises the concern of crystallographic model bias and the need to critically establish the information contributed by the experiment. Therefore, in its predicted_model mode ARCIMBOLDO_SHREDDER will first determine whether the input model already constitutes a solution or provides a straightforward solution with Phaser. If not, extracted fragments will be located. If the landscape of solutions reveals numerous, clearly discriminated and consistent probes or if the input model already constitutes a solution, model-free verification will be activated. Expansions with SHELXE will omit the partial solution seeding phases and all traces outside their respective masks will be combined in ALIXE, as far as consistent. This procedure completely eliminates the molecular replacement search model in favour of the inferences derived from this model. In the case of fragments, an incorrect starting hypothesis impedes expansion. The predicted_model mode has been tested in different scenarios.
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