Result

Dissociation constant (KD for EGFR by BLI of the overall competition winner, an optimised cetuximab scFv) of Cradle lead optimisation of a cetuximab single-chain variable fragment on Adaptyv EGFR competition round 2 tested designs

1.21 nM Dissociation constant (KD for EGFR by BLI of the overall competition winner, an optimised cetuximab scFv)

Evidence concern: excluded from comparisons

The paper prints three different round-1 binder rates and two round-2 expression rates. Section 2.4 gives round 1 as '2.5% (5/201)' and round 2 as 'a 95% expression rate (378 of 400 tested)'; Section 4.1 gives expression as improving 'from 73% to 94%'; Section 4.1 gives the binder percentage as rising 'from 3% in the first round to 13%'. All the printed values are recorded with their locators and none is reconciled here.Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Sections 2.4, 4.1 and 4.2

Section 4.1 says Figure 8 shows 'the total number of validated binders across the 3 binding thresholds' but no section of the paper defines those three thresholds. No hit definition is therefore recorded for the Figure 8 counts, and the binding protocol's success threshold is left unstated with a reason rather than guessed.Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Section 4.1; Figure 8 caption

Methods

Tested configuration: Cradle lead optimisation of a cetuximab single-chain variable fragment
Protocol: Adaptyv EGFR competition BLI affinity
Dataset: Adaptyv EGFR competition round 2 tested designs
Procedure: Adaptyv EGFR competition BLI affinity
Evaluation: Cradle lead optimisation in Adaptyv round 2: Adaptyv EGFR competition BLI affinity
Coverage: Not reported scored / Not reported eligible
Uncertainty: Not reported by the source: No interval is printed for this value in the prose; the repository records per-replicate fits.
Evidence: Independent external evaluation · source checkedCrowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025); Adaptyv EGFR design competition round 2 results repository · Section 3.2: 'The overall winner of the competition (by binding affinity), and the winner of R2, was the ML-guided lead optimization strategy of Cradle, with a binding affinity of 1.21 nM'

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.

Reproduction

Split: Not reported
Adaptation: Not reported
Scoring implementation: KD for EGFR by BLI of the overall competition winner, an optimised cetuximab scFv

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

2 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statement	Original source and location	Review and provenance
Reported result 1.21 nM Individual claims	Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) Original source ↗ Section 3.2: 'The overall winner of the competition (by binding affinity), and the winner of R2, was the ML-guided lead optimization strategy of Cradle, with a binding affinity of 1.21 nM' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: bioRxiv preprint version 1 Retrieved: 2026-10-22T12:01:00Z	source checked ["source-hash-verification","independent-cell-check","ai-assisted-source-review"] · 2026-10-22T15:00:00Z independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details 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. Field: `attributes.printed_value` Source artifact SHA-256: `17039d69ecc37f45f6c402511b8f4497ce631003689fa95ad1ab221f8f787a4f` Hash scope: SHA-256 of one retrieval of a mutable web page. The hash describes that retrieval, not a stable artifact. Inspected artifact Extraction artifact SHA-256: `17039d69ecc37f45f6c402511b8f4497ce631003689fa95ad1ab221f8f787a4f` Extraction artifact
Reported result 1.21 nM Individual claims	Adaptyv EGFR design competition round 2 results repository Original source ↗ Section 3.2: 'The overall winner of the competition (by binding affinity), and the winner of R2, was the ML-guided lead optimization strategy of Cradle, with a binding affinity of 1.21 nM' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: commit fc91b91ddc367830b755b215dbc69669675ad6a0 Retrieved: 2026-10-22T12:02:00Z	source checked ["source-hash-verification","independent-cell-check","ai-assisted-source-review"] · 2026-10-22T15:00:00Z independent paper Audit details 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. Field: `attributes.printed_value` Source artifact SHA-256: `b98dd231fa663e10e2768ad0cb7c8b33ba993bc809bd6168390ac87120ce3b7b` Hash scope: Hash scope not separately documented; inspect source record Archive member: results/result_summary.csv at commit fc91b91ddc367830b755b215dbc69669675ad6a0 Inspected artifact Extraction artifact SHA-256: `17039d69ecc37f45f6c402511b8f4497ce631003689fa95ad1ab221f8f787a4f` Extraction artifact

How to read the evidence

Sources and history

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

2 source records and release history

Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Original source · bioRxiv preprint version 1
Adaptyv EGFR design competition round 2 results repository · Original source · commit fc91b91ddc367830b755b215dbc69669675ad6a0

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Technical metadata and extraction receipts

Stable ID: uc-binder-20261022-result-adaptyv-cradle-r2-kd

metric: dissociation-constant
metric direction: lower
metric qualifier: KD for EGFR by BLI of the overall competition winner, an optimised cetuximab scFv
missing metadata: uncertainty: note: No interval is printed for this value in the prose; the repository records per-replicate fits.; reason: unreported
numeric value: 1.21
printed value: 1.21 nM
review: artifact sha256: 17039d69ecc37f45f6c402511b8f4497ce631003689fa95ad1ab221f8f787a4f; method: source-hash-verification; independent-cell-check; ai-assisted-source-review; method note: Re-downloaded (HTTP 200, 493,217 bytes, the same byte count as the pinned retrieval) but the SHA-256 differs, as expected for a mutable bioRxiv page whose hash describes one retrieval. Every extracted value and every quoted sentence was then located verbatim in the new retrieval, so the difference is in page furniture and not in the evidence. One section attribution and one quotation were corrected.; 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.biorxiv.org/content/10.1101/2025.04.17.648362v1.full; reviewed at: 2026-10-22T15:00:00Z; reviewer: claude; reviewer note: Claude review agent, independent of the extraction agent; no human review claimed
source locator: Section 3.2: 'The overall winner of the competition (by binding affinity), and the winner of R2, was the ML-guided lead optimization strategy of Cradle, with a binding affinity of 1.21 nM'
unit: nanomolar

Related records

evaluation: Cradle lead optimisation in Adaptyv round 2: Adaptyv EGFR competition BLI affinity

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