Evidence map›Paper›PMID 36048149›Full record

ArticleActa crystallographica. Section D, Structural biology2022

ModelCraft: an advanced automated model-building pipeline using Buccaneer.

Paul S Bond, Kevin D Cowtan

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Structural insights into a putative BLF1-like deamidase from Methylomonas sp. Kb3.Acta crystallographica. Section F, Structural biology communications · 2026
    Article
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  6. Crystal structure of a cold-active arginase from Glaciozyma antarctica.Acta crystallographica. Section F, Structural biology communications · 2026
    Article
  7. Article
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  9. Crystallization and 1.6 Å resolution crystal structure of an acylated GLP-1/GIP analogue peptide.Acta crystallographica. Section F, Structural biology communications · 2026
    Article
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  14. Project automation in CCP4 Cloud: Enabling customization and high-throughput efficiency.Protein science : a publication of the Protein Society · 2025
    Article
  15. Mechanism and application of thiol-disulfide redox biosensors with a fluorescence-lifetime readout.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Slice'N'Dice: maximizing the value of predicted models for structural biologists.Acta crystallographica. Section D, Structural biology · 2025
    Article
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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

2 authors.

Paul S BondDepartment of Chemistry, University of York, York YO10 5DD, United Kingdom.ORCID 0000-0002-8465-4823
Kevin D CowtanDepartment of Chemistry, University of York, York YO10 5DD, United Kingdom.ORCID 0000-0002-0189-1437

Funding

Biotechnology and Biological Sciences Research Council BB/M011151/1Biotechnology and Biological Sciences Research Council BB/S005099/1
6 · The paper itself

Abstract

Interactive model building can be a difficult and time-consuming step in the structure-solution process. Automated model-building programs such as Buccaneer often make it quicker and easier by completing most of the model in advance. However, they may fail to do so with low-resolution data or a poor initial model or map. The Buccaneer pipeline is a relatively simple program that iterates Buccaneer with REFMAC to refine the model and update the map. A new pipeline called ModelCraft has been developed that expands on this to include shift-field refinement, machine-learned pruning of incorrect residues, classical density modification, addition of water and dummy atoms, building of nucleic acids and final rebuilding of side chains. Testing was performed on 1180 structures solved by experimental phasing, 1338 structures solved by molecular replacement using homologues and 2030 structures solved by molecular replacement using predicted AlphaFold models. Compared with the previous Buccaneer pipeline, ModelCraft increased the mean completeness of the protein models in the experimental phasing cases from 91% to 95%, the molecular-replacement cases from 50% to 78% and the AlphaFold cases from 82% to 91%.

Indexed as

AlgorithmsSoftwareCrystallography, X-RayModels, MolecularProteinsProteinsautomationBuccaneermodel buildingModelCraftsoftwarestructure solutionX-ray crystallography

Identifiers

PMID36048149
PMCPMC9435595

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.