Evidence map›Paper›PMID 37405868›Full record

ArticleBioinformatics (Oxford, England)2023

Evaluation of AlphaFold-Multimer prediction on multi-chain protein complexes.

Wensi Zhu, Aditi Shenoy, Petras Kundrotas, Arne Elofsson

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing 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

133 citing papers in PubMed.

  1. Article
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  5. Evaluation of methods for AlphaFold-based integrative modeling.bioRxiv : the preprint server for biology · 2026
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  11. Review
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  16. When can AlphaFold predict the oligomeric states of proteins?Protein science : a publication of the Protein Society · 2026
    Article
  17. A broadly conserved gram-positive lipoprotein regulates cell elongation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Article
  19. A Chromatin Biology Assessment of AlphaFold3.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

73 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.

Wensi ZhuScience for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Solna 171 21, Sweden.
Aditi ShenoyScience for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Solna 171 21, Sweden.ORCID 0000-0001-7748-2501
Petras KundrotasScience for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Solna 171 21, Sweden.
Arne ElofssonScience for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Solna 171 21, Sweden.ORCID 0000-0002-7115-9751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDespite near-experimental accuracy on single-chain predictions, there is still scope for improvement among multimeric predictions. Methods like AlphaFold-Multimer and FoldDock can accurately model dimers. However, how well these methods fare on larger complexes is still unclear. Further, evaluation methods of the quality of multimeric complexes are not well established.

resultsWe analysed the performance of AlphaFold-Multimer on a homology-reduced dataset of homo- and heteromeric protein complexes. We highlight the differences between the pairwise and multi-interface evaluation of chains within a multimer. We describe why certain complexes perform well on one metric (e.g. TM-score) but poorly on another (e.g. DockQ). We propose a new score, Predicted DockQ version 2 (pDockQ2), to estimate the quality of each interface in a multimer. Finally, we modelled protein complexes (from CORUM) and identified two highly confident structures that do not have sequence homology to any existing structures. AVAILABILITY AND IMPLEMENTATION: All scripts, models, and data used to perform the analysis in this study are freely available at https://gitlab.com/ElofssonLab/afm-benchmark.

Indexed as

Computational BiologyProtein Conformation

Identifiers

PMID37405868
PMCPMC10348836

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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.