Evidence map›Paper›PMID 28177311›Full record

ArticleActa crystallographica. Section D, Structural biology2017

Polder maps: improving OMIT maps by excluding bulk solvent.

Dorothee Liebschner, Pavel V Afonine, Nigel W Moriarty, Billy K Poon, Oleg V Sobolev, Thomas C Terwilliger, Paul D Adams

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 424 papers.

0numbers the graph read from it
0cells of the map it votes in
424citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

424 citing papers in PubMed.

  1. Article
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  6. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
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  14. Off-Target Binding of Miglustat to Glycogen Debranching Enzyme.International journal of molecular sciences · 2026
    Article
  15. Article
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  19. Crystal structure of the plant GABA aminotransferase AtGABA-T from Arabidopsis thaliana.Acta crystallographica. Section F, Structural biology communications · 2026
    Article
  20. Article

364 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dorothee LiebschnerMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.
Pavel V AfonineMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.
Nigel W MoriartyMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.
Billy K PoonMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.
Oleg V SobolevMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.
Thomas C TerwilligerBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Paul D AdamsMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720, USA.

Funding

PROJECT 5 - DUKE - STRUCTURE VALIDATION AND IMPROVEMENT FOR PROTEINS AND N. ACIDSP01GM063210 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ADAMS, PAUL DAVID · 2001 to 2021
$33.5M
NIGMS NIH HHS P01 GM063210
6 · The paper itself

Abstract

The crystallographic maps that are routinely used during the structure-solution workflow are almost always model-biased because model information is used for their calculation. As these maps are also used to validate the atomic models that result from model building and refinement, this constitutes an immediate problem: anything added to the model will manifest itself in the map and thus hinder the validation. OMIT maps are a common tool to verify the presence of atoms in the model. The simplest way to compute an OMIT map is to exclude the atoms in question from the structure, update the corresponding structure factors and compute a residual map. It is then expected that if these atoms are present in the crystal structure, the electron density for the omitted atoms will be seen as positive features in this map. This, however, is complicated by the flat bulk-solvent model which is almost universally used in modern crystallographic refinement programs. This model postulates constant electron density at any voxel of the unit-cell volume that is not occupied by the atomic model. Consequently, if the density arising from the omitted atoms is weak then the bulk-solvent model may obscure it further. A possible solution to this problem is to prevent bulk solvent from entering the selected OMIT regions, which may improve the interpretative power of residual maps. This approach is called a polder (OMIT) map. Polder OMIT maps can be particularly useful for displaying weak densities of ligands, solvent molecules, side chains, alternative conformations and residues both in terminal regions and in loops. The tools described in this manuscript have been implemented and are available in PHENIX.

Indexed as

Crystallography, X-RayModels, MolecularDatabases, ProteinLigandsProtein ConformationProteinsSoftwareSolventsLigandsProteinsSolventsbulk solventligand validationOMIT mapsPHENIXpolder mapsresidual (difference) Fourier synthesisweak density

Identifiers

PMID28177311
PMCPMC5297918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.