rewirebio.iobenchmarks
Protocol

Bennett VHH computational success rate under an AlphaFold3 filter

Share of designed VHHs that pass an AlphaFold3 filter, defined as Ca RMSD below 5 A over the whole complex and ipTM above 0.5.

6 evaluations · 6 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

6 recorded evaluations, 6 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

6 evaluations · 6 results. Different protocols are not a single leaderboard.

Protocol: Bennett VHH computational success rate under an AlphaFold3 filter

Sorted by Success rate (AlphaFold3 filter) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

All 6 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target Influenza Hemagglutinin
5% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against H1 stem, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'H1 stem' (Designs screened = 96), column 'Success rate (%) (AF3)'
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target Influenza Hemagglutinin
5% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against H1 stem, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'H1 stem' (Designs screened = 9000), column 'Success rate (%) (AF3)'
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target IL-7 Receptor α
5% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against IL7R, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'IL7R' (Designs screened = 96), column 'Success rate (%) (AF3)'
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target SARS-CoV-2 RBD
0% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against SARS-CoV-2 RBD, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'SARS-CoV-2 RBD' (Designs screened = 9000), column 'Success rate (%) (AF3)'
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target RSV-F Site III
0.0*% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against RSV site 3, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'RSV site 3' (Designs screened = 9000), column 'Success rate (%) (AF3)'
Configuration: Fine-tuned RFdiffusion VHH design with fine-tuned RoseTTAFold2 filtering at hotspot proportion 1Protocol: Bennett VHH computational success rate under an AlphaFold3 filter
Dataset: Bennett VHH design target TcdB
27.5% Success rate (AlphaFold3 filter)
percent · higher

Uncertainty: Not reported by the source: No interval is printed.

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Fine-tuned RFdiffusion VHH computational success rate against TcdB, AlphaFold3 filter

uc-binder-20261022-protocol-bennett-insilico-af3-success

Aggregation: Not reported

Bennett 2025 Supplementary Information, including Supplementary Methods Tables 5 and 6; Atomically accurate de novo design of antibodies with RFdiffusion (Bennett et al., Nature 2025) · Supplementary Methods Table 6, row 'TcdB' (Designs screened = 96), column 'Success rate (%) (AF3)'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.

Author-reported evaluations
6

Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.

Null control

Proposed control: requires review

Select a task-valid null control after reviewing inputs and metric

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Conventional reference

Proposed control: requires review

Select an upstream conventional reference after reviewing the full protocol

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

Coverage is derived from release 2026-10-22-1b7cf027e4f6. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.

Run instructions

No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.

Strengths, limitations and unresolved questions

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 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

No evidence rows match these filters. Choose another scope or clear the search.

Sources and history

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

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: uc-binder-20261022-protocol-bennett-insilico-af3-success

areas
proteins-complexes; protein-structure
contexts
research
limitations
An in silico filter pass rate, not a measured outcome.; Retrospective: AlphaFold3 was released after the design work in the study.; The caption states that 'in some cases, the cropped target used during design was not accurate re-predicted by AF3 ... and hence the success rates are very low', and that 'success rates would likely be higher with contiguous (non-cropped) targets'.; The RSV site 3 value carries an asterisk: 'RSV site 3 target epitope was not correctly predicted with AF3 (RMSD = 19A) in its cropped form used in the design methods'.
metric
success-rate
metric direction
higher
metric qualifier
computational filter pass rate, AlphaFold3, Ca RMSD below 5 A over the whole complex and ipTM above 0.5
protocol
The same design sets are predicted with AlphaFold3 and scored as successful where Ca RMSD over the whole complex is below 5 A and ipTM is above 0.5. Unlike the fine-tuned RoseTTAFold2 filter, AlphaFold3 does not fix the target, so a cropped target that AlphaFold3 re-predicts inaccurately drives the rate down.
review
artifact sha256: d7876bc73c47f2cb3fcb0fa1ef917c89c9b67750a22f6402bf515f978cd1564a; method: source-hash-verification; independent-cell-check; ai-assisted-source-review; method note: Re-downloaded from Europe PMC (HTTP 200, 169,840 bytes) and the SHA-256 recomputed and matched. Own flattening of the JATS XML. The main text's '95 designs per target' was confirmed verbatim and the string '96 designs' does not occur, so the conflict with Supplementary Methods Table 6 is real.; note: Reviewed in docs/reviews/use-cases/binder-2026-10-22.md. Automated AI review of the source transcription only; it is not human scientific review and nothing here was reproduced experimentally.; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12727541/fullTextXML; reviewed at: 2026-10-22T15:00:00Z; reviewer: claude; reviewer note: Claude review agent, independent of the extraction agent; no human review claimed
scope limitations
An in silico filter pass rate, not a measured outcome, and retrospective: AlphaFold3 was released after the design work.
source locator
Supplementary Methods Table 6, column 'Success rate (%) (AF3)'
success threshold
criterion: Ca RMSD < 5 A over the whole complex and ipTM > 0.5; locator: Supplementary Methods Table 6 caption
unit
percent
version
Nature 2025 version of record; Supplementary Methods Table 6
Related records

Suggest a correction