Evidence map›Paper›PMID 32876057›Full record

ArticleActa crystallographica. Section D, Structural biology2020

Pairwise running of automated crystallographic model-building pipelines.

Emad Alharbi, Radu Calinescu, Kevin Cowtan

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Predicting the performance of automated crystallographic model-building pipelines.Acta crystallographica. Section D, Structural biology · 2021
    Article
  2. Structural barriers to scientific progress.Acta crystallographica. Section D, Structural biology · 2020
    Article
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

3 authors.

Emad AlharbiDepartment of Computer Science, University of York, Heslington, York YO10 5GH, United Kingdom.ORCID 0000-0001-8476-4865
Radu CalinescuDepartment of Computer Science, University of York, Heslington, York YO10 5GH, United Kingdom.ORCID 0000-0002-2678-9260
Kevin CowtanDepartment of Chemistry, University of York, Heslington, York YO10 5DD, United Kingdom.ORCID 0000-0002-0189-1437

Funding

Biotechnology and Biological Sciences Research Council BB/S005099/1
6 · The paper itself

Abstract

For the last two decades, researchers have worked independently to automate protein model building, and four widely used software pipelines have been developed for this purpose: ARP/wARP, Buccaneer, Phenix AutoBuild and SHELXE. Here, the usefulness of combining these pipelines to improve the built protein structures by running them in pairwise combinations is examined. The results show that integrating these pipelines can lead to significant improvements in structure completeness and R

Indexed as

SoftwareModels, MolecularProtein ConformationProteinsProteinsmodel buildingsoftwarestructure solution

Identifiers

PMID32876057
PMCPMC7466752

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.