PreprintCited by 3Protein Structure and DynamicsMachine Learning in BioinformaticsEnzyme Structure and Function

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

gapTrick – Structural characterisation of protein-protein interactions using AlphaFold

Open access
Chojnowski, Grzegorz·2025·Bioinformatics

Preprint — published as 10.1093/bioinformatics/btaf532

Abstract

The structural characterisation of protein-protein interactions is a key step in understanding the functions of living cells. Here I show that AlphaFold3 often fails to predict protein complexes that are either weak, or dependent on the presence of a cofactor that is not included in a prediction. To address this problem, I developed gapTrick, an AlphaFold2-based approach that uses multimeric templates to improve prediction reliability. I show that gapTrick improves predictions of weak and incomplete complexes based on low-accuracy templates, such as separate protein models rigid-body fitted into a cryo-EM reconstruction. I also show that it identifies with very high precision residue-residue interactions, which are critical for complex formation and a very strong indicator of model correctness. The approach can aid in the interpretation of challenging experimental structures and the computational identification of protein-protein interactions. Availability and implementation: The gapTrick source code is available at https://github.com/gchojnowski/gapTrick and requires only a standard AlphaFold2 installation to run. The repository also provides a Colab notebook that can be used to run gapTrick without installing it on the user’s computer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2025.01.31.635911

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 47

  1. 10.1016/j.jsb.2015.01.014 · DOI
  2. 10.1038/nsb1295-1062 · DOI
  3. 10.1002/jcc.21303 · DOI
  4. 10.1016/j.jmb.2007.05.022 · DOI
  5. 10.7554/eLife.52983 · DOI
  6. The wwPDB Consortium. EMDB—the electron microscopy data bank. Nucleic acids research 52, D456--D465 (2024). · DOI
  7. 10.1107/S2059798320016332 · DOI
  8. 10.1093/bioinformatics/btac749 · DOI · Paper page
  9. 10.1038/s41594-022-00910-8 · DOI · Paper page
  10. 10.1103/PhysRevLett.129.238101 · DOI · Paper page
  11. 10.1038/s41586-021-03828-1 · DOI · Paper page
  12. 10.1016/j.sbi.2009.08.003 · DOI
  13. 10.1038/s41467-024-52951-w · DOI
  14. Evans, R. et al. Protein complex prediction with AlphaFold-Multimer. biorxiv, 2021--2010 (2021).
  15. 10.1093/bib/bbae076 · DOI · Paper page
  16. 10.1038/s41467-022-28865-w · DOI · Paper page
  17. 10.1038/s41592-022-01488-1 · DOI · Paper page
  18. 10.1038/s41564-024-01791-x · DOI
  19. 10.1107/S2052252524009114 · DOI
  20. 10.1016/j.str.2022.08.004 · DOI
  21. 10.1126/sciadv.adn6037 · DOI · Paper page
  22. 10.1016/j.cell.2009.05.028 · DOI · Paper page
  23. 10.1093/nar/gkab1061 · DOI · Paper page
  24. 10.1107/S0907444909042589 · DOI
  25. 10.1002/pro.3791 · DOI
  26. 10.1107/S2059798321009475 · DOI
  27. 10.1126/science.abm9506 · DOI · Paper page
  28. Simpkin, A. J. et al. Slice’N’Dice: Maximising the value of predicted models for structural biologists. bioRxiv, 2022--2006 (2022). · DOI
  29. 10.1038/s41586-024-07215-4 · DOI · Paper page
  30. 10.1107/S2052252514009324 · DOI
  31. 2021, CERES: a cryo-EM re-refinement system for continuous improvement of deposited models, Biological Crystallography, 77, 48
  32. Wlodawer, A. Stereochemistry and validation of macromolecular structures. Protein Crystallography: Methods and Protocols, 595--610 (2017). · DOI
  33. 10.1038/nbt.3988 · DOI · Paper page
  34. 10.1038/s41467-022-29394-2 · DOI · Paper page
  35. 10.15252/msb.202010016 · DOI
  36. 10.1038/s41592-019-0686-2 · DOI · Paper page
  37. Oliphant, T. E. A guide to NumPy. Vol. 1 (Trelgol Publishing USA, 2006).
  38. 10.1109/mcse.2007.55 · DOI · Paper page
  39. 10.1002/pro.3943 · DOI
  40. 10.1107/S2059798317007859 · DOI
  41. 10.1002/pro.3786 · DOI
  42. 10.1016/j.str.2020.08.005 · DOI
  43. 10.1107/S2059798323003595 · DOI
  44. 10.21105/joss.04200 · DOI
  45. 10.1107/S0021889801017824 · DOI
  46. 10.1093/bioinformatics/btp163 · DOI · Paper page
  47. 10.1038/s41587-023-01773-0 · DOI · Paper page

Metadata

Authors
Chojnowski, G.
Affiliations
European Molecular Biology Laboratory (DE)
Corresponding author
Chojnowski, Grzegorz
Venue
Bioinformatics
Publisher
openRxiv
Published
2025-02-05
Volume
41
Issue
9
ISSN
1367-4803 (ISSN-L)
OpenAlex
W4414436051
Cited by
3
References
1
Citations by year
2026: 3
FWCI
0.90
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
Funders
European Molecular Biology Laboratory
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
Keywords
protein-protein interaction, protein complex structure prediction, AlphaFold2, AlphaFold3, cryo-EM reconstruction, residue-residue interactions, template-based modeling
MeSH terms
Models, Molecular, Protein Binding, Protein Conformation, Proteins, Software, Computational Biology, Cryoelectron Microscopy, Protein Interaction Mapping

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review