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Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

NAR Genomics and Bioinformatics · 2026 · Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text) · Peer-reviewed

DOI: 10.1093/nargab/lqag002Original source

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Results

Values as the source printed them. Compare results only under compatible protocols, datasets and metrics.

ValueMetricModel or configurationDatasetEvaluation
105 countCount (Acceptable quality (0.23 <= DockQ < 0.49); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, all structures in the class (Table 2)
361 countCount (High quality (DockQ >= 0.80); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, all structures in the class (Table 2)
231 countCount (Incorrect prediction (DockQ < 0.23); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, all structures in the class (Table 2)
297 countCount (Medium quality (0.49 <= DockQ < 0.80); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, all structures in the class (Table 2)
21 countCount (Acceptable quality (0.23 <= DockQ < 0.49); heterodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, heterodimeric structures in the class (Table 2)
74 countCount (High quality (DockQ >= 0.80); heterodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, heterodimeric structures in the class (Table 2)
31 countCount (Incorrect prediction (DockQ < 0.23); heterodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, heterodimeric structures in the class (Table 2)
73 countCount (Medium quality (0.49 <= DockQ < 0.80); heterodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, heterodimeric structures in the class (Table 2)
84 countCount (Acceptable quality (0.23 <= DockQ < 0.49); homodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, homodimeric structures in the class (Table 2)
287 countCount (High quality (DockQ >= 0.80); homodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, homodimeric structures in the class (Table 2)
200 countCount (Incorrect prediction (DockQ < 0.23); homodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, homodimeric structures in the class (Table 2)
224 countCount (Medium quality (0.49 <= DockQ < 0.80); homodimeric structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, homodimeric structures in the class (Table 2)
37 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 2)
43 countCount (High quality (DockQ >= 0.80); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 2)
47 countCount (Incorrect prediction (DockQ < 0.23); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 2)
91 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 2)
5 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 2)
0 countCount (High quality (DockQ >= 0.80); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 2)
3 countCount (Incorrect prediction (DockQ < 0.23); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 2)
7 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 2)
63 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class whose experimental reference is X-ray diffraction)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is X-ray diffraction (Table 2)
318 countCount (High quality (DockQ >= 0.80); structures in the class whose experimental reference is X-ray diffraction)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is X-ray diffraction (Table 2)
180 countCount (Incorrect prediction (DockQ < 0.23); structures in the class whose experimental reference is X-ray diffraction)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is X-ray diffraction (Table 2)
199 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class whose experimental reference is X-ray diffraction)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose experimental reference is X-ray diffraction (Table 2)
92 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class whose pLDDT is at least 70)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose pLDDT is at least 70 (Table 2)
356 countCount (High quality (DockQ >= 0.80); structures in the class whose pLDDT is at least 70)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose pLDDT is at least 70 (Table 2)
197 countCount (Incorrect prediction (DockQ < 0.23); structures in the class whose pLDDT is at least 70)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose pLDDT is at least 70 (Table 2)
283 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class whose pLDDT is at least 70)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class whose pLDDT is at least 70 (Table 2)
59 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class with template quality 0 (no homologous pre-2022 structure))AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality 0 (no homologous pre-2022 structure) (Table 2)
188 countCount (High quality (DockQ >= 0.80); structures in the class with template quality 0 (no homologous pre-2022 structure))AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality 0 (no homologous pre-2022 structure) (Table 2)
145 countCount (Incorrect prediction (DockQ < 0.23); structures in the class with template quality 0 (no homologous pre-2022 structure))AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality 0 (no homologous pre-2022 structure) (Table 2)
165 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class with template quality 0 (no homologous pre-2022 structure))AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality 0 (no homologous pre-2022 structure) (Table 2)
1 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class with template quality above 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality above 40 (Table 2)
0 countCount (High quality (DockQ >= 0.80); structures in the class with template quality above 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality above 40 (Table 2)
1 countCount (Incorrect prediction (DockQ < 0.23); structures in the class with template quality above 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality above 40 (Table 2)
2 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class with template quality above 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality above 40 (Table 2)
45 countCount (Acceptable quality (0.23 <= DockQ < 0.49); structures in the class with template quality between 1 and 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality between 1 and 40 (Table 2)
173 countCount (High quality (DockQ >= 0.80); structures in the class with template quality between 1 and 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality between 1 and 40 (Table 2)
85 countCount (Incorrect prediction (DockQ < 0.23); structures in the class with template quality between 1 and 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality between 1 and 40 (Table 2)
130 countCount (Medium quality (0.49 <= DockQ < 0.80); structures in the class with template quality between 1 and 40)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)994 non-redundant dimeric PDB structures (2022-2024)AlphaFold2 dimeric predictive-class counts, structures in the class with template quality between 1 and 40 (Table 2)
1069 countCount (Accurate prediction (RMSD <= 3.0 Angstrom and LDDT >= 0.7); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, all structures in the class (Table 1)
386 countCount (Domain movement (RMSD > 3.0 Angstrom and LDDT >= 0.7 (correct folds, different domain arrangement)); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, all structures in the class (Table 1)
200 countCount (Incorrect prediction (RMSD > 3.0 Angstrom and LDDT < 0.7); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, all structures in the class (Table 1)
11 countCount (Special cases (LDDT < 0.7 and RMSD < 3.0 Angstrom); all structures in the class)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, all structures in the class (Table 1)
52 countCount (Accurate prediction (RMSD <= 3.0 Angstrom and LDDT >= 0.7); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 1)
84 countCount (Domain movement (RMSD > 3.0 Angstrom and LDDT >= 0.7 (correct folds, different domain arrangement)); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 1)
25 countCount (Incorrect prediction (RMSD > 3.0 Angstrom and LDDT < 0.7); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 1)
0 countCount (Special cases (LDDT < 0.7 and RMSD < 3.0 Angstrom); structures in the class whose experimental reference is electron microscopy)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is electron microscopy (Table 1)
31 countCount (Accurate prediction (RMSD <= 3.0 Angstrom and LDDT >= 0.7); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 1)
21 countCount (Domain movement (RMSD > 3.0 Angstrom and LDDT >= 0.7 (correct folds, different domain arrangement)); structures in the class whose experimental reference is NMR)AlphaFold2 (AlphaFold2 v2.2.3 installed locally; five models per sequence)1666 non-redundant monomeric PDB structures (2022-2024)AlphaFold2 monomeric predictive-class counts, structures in the class whose experimental reference is NMR (Table 1)

Claims

Statements this source supports, each with where in the source it was checked.

  • printed_value_conflict: lit-structure-20261011-afesmfold-source-mahtha2026: Printed value conflict The Abstract prints one dimer figure for both tools: 'AlphaFold2 and AlphaFold3 correctly predicted 88% of monomeric structures and 77% of dimeric proteins.' Table 2 gives AlphaFold2 361 high, 297 medium and 105 acceptable quality dimers out of 994, and AlphaFold3 346, 306 and 93. The Results print these totals as 763 (76.8%) for AlphaFold2 and 745 (75%) for AlphaFold3, and the Discussion as 76.8% and 75%. The Abstract's 77% matches AlphaFold2 only; for AlphaFold3 the Table 2 counts give 745/994, 74.9% to one decimal (computed here, not printed). (Abstract sentence 3; Table 2, AlphaFold2 and AlphaFold3 rows 'High quality', 'Medium quality', 'Acceptable quality', column 'No.'; Results section 'Performance of AlphaFold for dimeric structure prediction' paragraphs 1 and 3; Discussion paragraph 3)
  • printed_value_conflict: lit-structure-20261011-afesmfold-source-mahtha2026: Printed value conflict The Abstract prints ESMFold monomer accuracy as 76%: 'On the other hand, ESMFold accurately predicted 76% of the monomeric proteins and 41% of the dimeric proteins.' The Discussion prints 77%: 'For monomeric proteins, AlphaFold2 and AlphaFold3 exhibited comparable performance, each accurately predicting 87%–88% of the structures, while ESMFold achieved 77% accuracy.' Table 1 and the Results give ESMFold 832 accurate predictions (50%) and 430 with domain movement (26%) out of 1,666 monomers. The paper does not print the sum; 832 + 430 = 1,262 of 1,666 is 75.75% (computed here, not printed), which rounds to the Abstract's 76%, not to the Discussion's 77%. (Abstract sentence 4; Discussion paragraph 1, sentence 6; Results section 'Performance of ESMFold for monomer structure prediction' paragraph 1, sentence 1; Table 1, ESMFold rows 'Accurate prediction' and 'Domain movement', column 'No.')
  • Relevance of dimeric predictive-class counts to "Choose structural hypotheses to guide experiments": Assessed by Predictive-class counts for dimeric predictions, all structures in the class (Table 2, column 'No.') (Table 2, column 'No.')
  • Relevance of monomeric predictive-class counts to "Choose structural hypotheses to guide experiments": Assessed by Predictive-class counts for monomeric predictions, all structures in the class (Table 1, column 'No.') (Table 1, column 'No.')

Models, benchmarks and other records

Models (1)

Configurations (3)

Benchmarks (1)

Protocols (18)

Datasets (2)

Evaluations (54)

Evidence

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26 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
attributes.artifact_sha256
aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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Artifact url
https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12809598/fullTextXML
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

No field-specific location recorded

Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
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Source artifact SHA-256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8

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Doi
10.1093/nargab/lqag002
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

No field-specific location recorded

Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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Evidence concerns
5 values
  • source id
    lit-structure-20261011-afesmfold-source-mahtha2026
    message
    The ESMFold rows give 244 EM and 107 NMR monomers, while the AlphaFold2 and AlphaFold3 rows over the same 1666 targets give 161 and 190, and the text gives 160 and 190. The Discussion says ESMFold mispredicted 139 of 190 NMR monomers, against 56 incorrect and 9 special cases in the table. The EM and NMR cells of the ESMFold incorrect row appear transposed.
    source locator
    Table 1, ESMFold rows, columns 'EM' and 'NMR'; Results paragraph 17; Discussion
    artifact sha256
    aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
    review date
    2026-10-11
  • source id
    lit-structure-20261011-afesmfold-source-mahtha2026
    message
    The text says all 11 AlphaFold2 and all 11 AlphaFold3 special cases are NMR structures; the table gives 1 XRD and 10 NMR for AlphaFold2, and 2 XRD, 1 EM and 8 NMR for AlphaFold3.
    source locator
    Table 1, 'Special cases' rows, columns 'XRD', 'EM', 'NMR'; Results paragraphs 24 and 27
    artifact sha256
    aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
    review date
    2026-10-11
  • source id
    lit-structure-20261011-afesmfold-source-mahtha2026
    message
    The row prints EM 3 and NMR 37, so AlphaFold3 totals 184 EM and 49 NMR against 218 and 15 for the other tools over the same 994 targets (text: 219 and 15). The two cells appear transposed.
    source locator
    Table 2, AlphaFold3 'Acceptable quality' row, columns 'EM' and 'NMR'
    artifact sha256
    aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
    review date
    2026-10-11
  • source id
    lit-structure-20261011-afesmfold-source-mahtha2026
    message
    Template quality is a property of the target, yet the column totals differ by tool (TQ 0: 557, 319 and 391). For AlphaFold3 the text gives 414, 326 and 5 accurate and 153, 88 and 8 incorrect dimers by TQ band, against 228, 512 and 4, and 91, 158 and 0, in the table.
    source locator
    Table 2, columns 'TQ 0', 'TQ 1–40', 'TQ > 40'; Results paragraph 38
    artifact sha256
    aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
    review date
    2026-10-11
  • source id
    lit-structure-20261011-afesmfold-source-mahtha2026
    message
    Several rows do not sum to the 'No.' column: Table 1 AlphaFold2 and AlphaFold3 accurate (method columns 1068 and 1075), ESMFold domain movement (429); Table 2 AlphaFold2 incorrect (method 230), AlphaFold3 medium (TQ 305), ESMFold acceptable (TQ 122) and incorrect (method and TQ 584).
    source locator
    Tables 1 and 2, row totals
    artifact sha256
    aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
    review date
    2026-10-11
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
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Licence
CC BY-NC 4.0
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

No field-specific location recorded

Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
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Limitations
3 values
  • Tables 1 and 2 only: counts of predicted structures per predictive class. The RMSD, LDDT, TM-score, pLDDT and DockQ distributions are figures and supplementary figures and were not extracted.
  • The counts are class memberships, not a single accuracy figure; direction is recorded as unknown because a high count is good for the accurate classes and bad for the incorrect class.
  • The ProModEv web portal the paper describes was not retrieved.
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

No field-specific location recorded

Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

catalogued

No individual claim review recorded

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Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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peer_reviewed
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Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

Original source ↗

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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2026-10-11
Source metadata
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteins

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Version: Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

Primary source retrieved and hashed for the 2026-10-11 protein and structure literature pass.

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Stable ID: lit-structure-20261011-afesmfold-source-mahtha2026

areas
protein-structure; proteins-complexes
contexts
research
url
https://pmc.ncbi.nlm.nih.gov/articles/PMC12809598/
artifact url
https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12809598/fullTextXML
doi
10.1093/nargab/lqag002
version
Version of record, NAR Genomics and Bioinformatics 2026 (PMC12809598 JATS full text)
retrieved at
2026-10-11T21:30:00Z
artifact sha256
aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8
publication status
peer_reviewed
licence
CC BY-NC 4.0
media type
application/xml
venue
NAR Genomics and Bioinformatics
year
2026
limitations
Tables 1 and 2 only: counts of predicted structures per predictive class. The RMSD, LDDT, TM-score, pLDDT and DockQ distributions are figures and supplementary figures and were not extracted.; The counts are class memberships, not a single accuracy figure; direction is recorded as unknown because a high count is good for the accurate classes and bad for the incorrect class.; The ProModEv web portal the paper describes was not retrieved.
evidence concerns
source id: lit-structure-20261011-afesmfold-source-mahtha2026; message: The ESMFold rows give 244 EM and 107 NMR monomers, while the AlphaFold2 and AlphaFold3 rows over the same 1666 targets give 161 and 190, and the text gives 160 and 190. The Discussion says ESMFold mispredicted 139 of 190 NMR monomers, against 56 incorrect and 9 special cases in the table. The EM and NMR cells of the ESMFold incorrect row appear transposed.; source locator: Table 1, ESMFold rows, columns 'EM' and 'NMR'; Results paragraph 17; Discussion; artifact sha256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8; review date: 2026-10-11; source id: lit-structure-20261011-afesmfold-source-mahtha2026; message: The text says all 11 AlphaFold2 and all 11 AlphaFold3 special cases are NMR structures; the table gives 1 XRD and 10 NMR for AlphaFold2, and 2 XRD, 1 EM and 8 NMR for AlphaFold3.; source locator: Table 1, 'Special cases' rows, columns 'XRD', 'EM', 'NMR'; Results paragraphs 24 and 27; artifact sha256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8; review date: 2026-10-11; source id: lit-structure-20261011-afesmfold-source-mahtha2026; message: The row prints EM 3 and NMR 37, so AlphaFold3 totals 184 EM and 49 NMR against 218 and 15 for the other tools over the same 994 targets (text: 219 and 15). The two cells appear transposed.; source locator: Table 2, AlphaFold3 'Acceptable quality' row, columns 'EM' and 'NMR'; artifact sha256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8; review date: 2026-10-11; source id: lit-structure-20261011-afesmfold-source-mahtha2026; message: Template quality is a property of the target, yet the column totals differ by tool (TQ 0: 557, 319 and 391). For AlphaFold3 the text gives 414, 326 and 5 accurate and 153, 88 and 8 incorrect dimers by TQ band, against 228, 512 and 4, and 91, 158 and 0, in the table.; source locator: Table 2, columns 'TQ 0', 'TQ 1–40', 'TQ > 40'; Results paragraph 38; artifact sha256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8; review date: 2026-10-11; source id: lit-structure-20261011-afesmfold-source-mahtha2026; message: Several rows do not sum to the 'No.' column: Table 1 AlphaFold2 and AlphaFold3 accurate (method columns 1068 and 1075), ESMFold domain movement (429); Table 2 AlphaFold2 incorrect (method 230), AlphaFold3 medium (TQ 305), ESMFold acceptable (TQ 122) and incorrect (method and TQ 584).; source locator: Tables 1 and 2, row totals; artifact sha256: aae321d05839186a7595987d05af6e95aec5ac32b93b35c5cf1126902fe798b8; review date: 2026-10-11
review
method: source-hash-verification; method note: Artifact re-retrieved from Europe PMC and SHA-256 matched.; reviewer: claude; reviewer note: Claude review agent reviewer-ps-2, independent of the extractor lit-protein-structure; no human review claimed; date: 2026-10-11
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