Evidence map›Paper›PMID 29872005›Full record

ArticleActa crystallographica. Section D, Structural biology2018

Automated map sharpening by maximization of detail and connectivity.

Thomas C Terwilliger, Oleg V Sobolev, Pavel V Afonine, Paul D Adams

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

185 citing papers in PubMed.

  1. Structural insights into the coupling mechanism of vectorial COProceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Structural atlas ofbioRxiv : the preprint server for biology · 2025
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125 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

4 authors.

Thomas C TerwilligerBioscience Division, Los Alamos National Laboratory, Mail Stop M888, Los Alamos, NM 87545, USA.
Oleg V SobolevMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Pavel V AfonineMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0002-5052-991X
Paul D AdamsDepartment of Bioengineering, University of California Berkeley, Berkeley, California, 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
National Institutes of Health, National Institute of General Medical Sciences P01GM063210NIGMS NIH HHS P01 GM063210U.S. Department of Energy DE-AC02-05CH11231
6 · The paper itself

Abstract

An algorithm for automatic map sharpening is presented that is based on optimization of the detail and connectivity of the sharpened map. The detail in the map is reflected in the surface area of an iso-contour surface that contains a fixed fraction of the volume of the map, where a map with high level of detail has a high surface area. The connectivity of the sharpened map is reflected in the number of connected regions defined by the same iso-contour surfaces, where a map with high connectivity has a small number of connected regions. By combining these two measures in a metric termed the `adjusted surface area', map quality can be evaluated in an automated fashion. This metric was used to choose optimal map-sharpening parameters without reference to a model or other interpretations of the map. Map sharpening by optimization of the adjusted surface area can be carried out for a map as a whole or it can be carried out locally, yielding a locally sharpened map. To evaluate the performance of various approaches, a simple metric based on map-model correlation that can reproduce visual choices of optimally sharpened maps was used. The map-model correlation is calculated using a model with B factors (atomic displacement factors; ADPs) set to zero. This model-based metric was used to evaluate map sharpening and to evaluate map-sharpening approaches, and it was found that optimization of the adjusted surface area can be an effective tool for map sharpening.

Indexed as

AlgorithmsModels, MolecularAnimalsAntigens, BacterialBacterial ProteinsBacterial ToxinsConnexinsCryoelectron MicroscopyCrystallography, X-RayFourier AnalysisHumansTRPV Cation Channelsanthrax toxinAntigens, BacterialBacterial ProteinsBacterial ToxinsConnexinsTRPV1 protein, humanTRPV Cation Channelscryo-electron microscopymap interpretationmap sharpeningX-ray crystallography

Identifiers

PMID29872005
PMCPMC6096490

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LicenceCC BY
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Registered trials

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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.