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Configuration

BindCraft with helical loss -2.0 as entered in Adaptyv round 2

BindCraft run with the helicity loss set to -2.0 instead of the default -0.3, so that only beta-sheeted designs from the same design campaign were submitted.

2 evaluations · 2 results

Overview

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Evaluations and results

2 evaluations · 2 results. Different protocols are not a single leaderboard.

Dataset: Adaptyv EGFR competition round 2 tested designs

Sorted by Count (designs with high expression) (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.

Tested configurationProtocol and datasetCount (designs with high expression)Dissociation constant (best KD for EGFR by BLI among the round 2 BindCraft entries; the tightest binding de novo binder in round 2)
BindCraft with helical loss -2.0 as entered in Adaptyv round 2EvaluationAdaptyv EGFR competition cell-free expression rateall ten showed high expression ratesNot reported
BindCraft with helical loss -2.0 as entered in Adaptyv round 2EvaluationAdaptyv EGFR competition BLI affinityNot reported82 nM
All 2 result rows with coverage, uncertainty and sources
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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: BindCraft with helical loss -2.0 as entered in Adaptyv round 2Protocol: Adaptyv EGFR competition cell-free expression rate
Dataset: Adaptyv EGFR competition round 2 tested designs
all ten showed high expression rates Count (designs with high expression)
count · higher

Uncertainty: Not applicable: An exact count.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BindCraft with helical loss -2.0 in Adaptyv round 2: Adaptyv EGFR competition cell-free expression rate

uc-binder-20261022-protocol-adaptyv-expression

Aggregation: Not reported

Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Section 3.1: 'Ten out of the author's submitted beta sheeted designs were tested and - given the lower overall expression rate of the competition in R1 - surprisingly all ten showed high expression rates'
Configuration: BindCraft with helical loss -2.0 as entered in Adaptyv round 2Protocol: Adaptyv EGFR competition BLI affinity
Dataset: Adaptyv EGFR competition round 2 tested designs
82 nM Dissociation constant (best KD for EGFR by BLI among the round 2 BindCraft entries; the tightest binding de novo binder in round 2)
nanomolar · lower

Uncertainty: Not reported by the source: No interval is printed for this value in the prose; the repository records per-replicate fits.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BindCraft with helical loss -2.0 in Adaptyv round 2: Adaptyv EGFR competition BLI affinity

uc-binder-20261022-protocol-adaptyv-bli-affinity

Aggregation: Not reported

Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition (Cotet et al., bioRxiv 2025) · Section 3.1: 'One of those designs bound with 82 nM affinity to the EGFR target, making it the tightest binding de novo binder in R2'

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

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Sources and history

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

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: uc-binder-20261022-config-adaptyv-bindcraft-r2-beta

areas
proteins-complexes; protein-structure
contexts
research
method types
specialist
access reuse
Entered by the BindCraft authors; tested by Adaptyv.
foundation model eligible
false
method role
design
parameters
Helical loss set to -2.0 (default -0.3), yielding beta-sheeted designs from the same design campaign as the round 1 entry
reported name
BindCraft
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
selection
Ten beta-sheeted designs from the authors' submission were tested.
source locator
Section 3.1
version
As entered in Adaptyv EGFR competition round 2
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