Pipeline

Cradle machine-learning-guided lead optimisation

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

Cradle optimises an existing binder by generating mutations in it and selecting candidates with machine-learning models trained for the task.

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Cradle lead optimisation of a cetuximab single-chain variable fragment Configuration · configuration · 1 evaluation · 1 result

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

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Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Original source · bioRxiv preprint version 1

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Technical metadata and extraction receipts

Stable ID: uc-binder-20261022-pipeline-cradle

areas: proteins-complexes; protein-structure
contexts: research
method types: supervised_machine_learning
access: Commercial service; not described in detail in this source.
provenance note: Created from the Adaptyv competition preprint for the 2026-10-22 binder design pass.
reported name: Cradle
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
version: As entered in round 2 of the Adaptyv EGFR competition

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configuration of: Cradle lead optimisation of a cetuximab single-chain variable fragment

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