Literature DB >> 32093835

What are the current limits on determination of protonation state using neutron macromolecular crystallography?

Dorothee Liebschner1, Pavel V Afonine2, Nigel W Moriarty2, Paul D Adams3.   

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.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hydrogen bond; Neutron diffraction; Protonation state; Water structure

Mesh:

Year:  2020        PMID: 32093835      PMCID: PMC7571246          DOI: 10.1016/bs.mie.2020.01.008

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  49 in total

1.  Cooperative effects in hydrogen-bonding of protein secondary structure elements: a systematic analysis of crystal data using Secbase.

Authors:  O Koch; M Bocola; G Klebe
Journal:  Proteins       Date:  2005-11-01

2.  MolProbity: More and better reference data for improved all-atom structure validation.

Authors:  Christopher J Williams; Jeffrey J Headd; Nigel W Moriarty; Michael G Prisant; Lizbeth L Videau; Lindsay N Deis; Vishal Verma; Daniel A Keedy; Bradley J Hintze; Vincent B Chen; Swati Jain; Steven M Lewis; W Bryan Arendall; Jack Snoeyink; Paul D Adams; Simon C Lovell; Jane S Richardson; David C Richardson
Journal:  Protein Sci       Date:  2017-11-27       Impact factor: 6.725

3.  Neutron Laue diffractometry with an imaging plate provides an effective data collection regime for neutron protein crystallography.

Authors:  N Niimura; Y Minezaki; T Nonaka; J C Castagna; F Cipriani; P Høghøj; M S Lehmann; C Wilkinson
Journal:  Nat Struct Biol       Date:  1997-11

4.  A technique for determining the deuterium/hydrogen contrast map in neutron macromolecular crystallography.

Authors:  Toshiyuki Chatake; Satoru Fujiwara
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-01-01       Impact factor: 7.652

5.  Accuracy and precision in protein crystal structure analysis: two independent refinements of the structure of poplar plastocyanin at 173 K.

Authors:  B A Fields; H H Bartsch; H D Bartunik; F Cordes; J M Guss; H C Freeman
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1994-09-01

6.  Refined structure of alpha-lytic protease at 1.7 A resolution. Analysis of hydrogen bonding and solvent structure.

Authors:  M Fujinaga; L T Delbaere; G D Brayer; M N James
Journal:  J Mol Biol       Date:  1985-08-05       Impact factor: 5.469

7.  An introduction to data reduction: space-group determination, scaling and intensity statistics.

Authors:  Philip R Evans
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-03-18

Review 8.  Fifteen years of the Protein Crystallography Station: the coming of age of macromolecular neutron crystallography.

Authors:  Julian C-H Chen; Clifford J Unkefer
Journal:  IUCrJ       Date:  2017-01-01       Impact factor: 4.769

9.  Model validation: local diagnosis, correction and when to quit.

Authors:  Jane S Richardson; Christopher J Williams; Bradley J Hintze; Vincent B Chen; Michael G Prisant; Lizbeth L Videau; David C Richardson
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-02-01       Impact factor: 7.652

10.  Bulk-solvent and overall scaling revisited: faster calculations, improved results.

Authors:  P V Afonine; R W Grosse-Kunstleve; P D Adams; A Urzhumtsev
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2013-03-14
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