Evidence map›Paper›PMID 37555230›Full record

ArticleJournal of applied crystallography2023

AlphaFold-predicted protein structures and small-angle X-ray scattering: insights from an extended examination of selected data in the Small-Angle Scattering Biological Data Bank.

Emre Brookes, Mattia Rocco, Patrice Vachette, Jill Trewhella

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. SASBDB reaches 5000 data sets: empowering open science and next-generation SAS analysis.Acta crystallographica. Section D, Structural biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Journal of applied crystallography · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

4 authors.

Emre BrookesDepartment of Chemistry and Biochemistry, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA.
Mattia RoccoProteomica e Spettrometria di Massa, IRCCS Ospedale Policlinico San Martino, Largo R. Benzi 10, Genova 16132, Italy.ORCID https://orcid.org/0000-0002-0456-7528
Patrice VachetteUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette 91198, France.ORCID https://orcid.org/0000-0002-2602-9704
Jill TrewhellaSchool of Life and Environmental Sciences, The University of Sydney, NSW 2006, Australia.ORCID https://orcid.org/0000-0002-8555-6766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By providing predicted protein structures from nearly all known protein sequences, the artificial intelligence program AlphaFold (AF) is having a major impact on structural biology. While a stunning accuracy has been achieved for many folding units, predicted unstructured regions and the arrangement of potentially flexible linkers connecting structured domains present challenges. Focusing on single-chain structures without prosthetic groups, an earlier comparison of features derived from small-angle X-ray scattering (SAXS) data taken from the Small-Angle Scattering Biological Data Bank (SASBDB) is extended to those calculated using the corresponding AF-predicted structures. Selected SASBDB entries were carefully examined to ensure that they represented data from monodisperse protein solutions and had sufficient statistical precision and

Indexed as

AlphaFoldensemble modellingSAXSsmall-angle X-ray scatteringstructural flexibility

Identifiers

PMID37555230
PMCPMC10405597

What Socratic 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 Socratic graph.