ArticleMethods in enzymology2020
What are the current limits on determination of protonation state using neutron macromolecular crystallography?
Article in Methods in enzymology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- Towards patient-relevant structures: reviewing body-temperature biological macromolecules and their ligands for pharmaceutical applications.Acta crystallographica. Section D, Structural biology · 2026Review
- "Seeing Is Believing": How Neutron Crystallography Informs Enzyme Mechanisms by Visualizing Unique Water Species.Biology · 2024Review
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The rate of deposition of models determined by neutron diffraction, or a hybrid approach that combines X-ray and neutron diffraction, has increased in recent years. The benefit of neutron diffraction is that hydrogen atom (H) positions are detectable, allowing for the determination of protonation state and water molecule orientation. This study analyses all neutron models deposited in the Protein Data Bank to date, focusing on protonation state and properties of H (or deuterium, D) atoms as well as the details of water molecules. In particular, clashes and hydrogen bonds involving H or D atoms are investigated. As water molecules are typically the least reproducible part of a structural model, their positions in neutron models were compared to those in homologous high-resolution X-ray structures. For models determined by joint refinement against X-ray and neutron data, the water structure comparison was also carried out for models re-refined against the X-ray data alone. The homologues have generally fewer conserved water molecules where X-ray only was used and the positions of equivalent waters vary more than in the case of the hybrid X-ray model. As neutron diffraction data are generally less complete than X-ray data, the influence of neutron data completeness on nuclear density maps was also analyzed. We observe and discuss systematic map quality deterioration as result of data incompleteness.
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