FrontierLab-Meta-Hackathon-2026 / docs /runs /method_evaluation_20261028.json
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{
"schema": "frontierlab.method-evaluation.v1",
"context_id": "ee7f790ba48474bb63a935f6108f1e698121a404d93a5bf0389946ba2932dcf8",
"status": "READY_FOR_DRAFT_PLANNING",
"origin": "RESEARCHER_ASSESSED",
"candidates": [
{
"candidate_id": "M1",
"name": "Directed evolution with yeast surface display and alternating-pH selection",
"evidence_ids": [
"PMC4314675"
],
"scope": "Use a displayed Fcab library with positive selection for Her2 binding at pH 7.4 and negative selection/non-binding at pH 6.0, followed by clone-level pH-dependent binding characterization.",
"checks": {
"data": {
"status": "unknown",
"detail": "Underlying clone-level screening and selection datasets have not been independently retrieved for FrontierLab.",
"reference": ""
},
"code": {
"status": "not_applicable",
"detail": "The evaluated route is primarily an experimental directed-evolution workflow; no required computational code artifact has been established from the current source review.",
"reference": ""
},
"environment": {
"status": "unknown",
"detail": "Laboratory platform details and instrument settings have not been independently normalized into a reproducible FrontierLab environment record.",
"reference": ""
},
"parameters": {
"status": "documented",
"detail": "The source-derived comparison identifies alternating selection at pH 7.4 for binding and pH 6.0 for non-binding as central design parameters.",
"reference": "PMC4314675 / doi:10.1002/biot.201300483"
},
"protocol": {
"status": "documented",
"detail": "The published study reports directed evolution using yeast surface display followed by characterization of isolated pH-sensitive Fcab variants.",
"reference": "PMC4314675 / doi:10.1002/biot.201300483"
},
"metrics": {
"status": "documented",
"detail": "The source reports pH-dependent binding characterization and downstream assessment of isolated variants; FrontierLab has not reproduced these measurements.",
"reference": "PMC4314675 / doi:10.1002/biot.201300483"
}
},
"comparison": {
"expected_value": "Explores sequence space without requiring a predefined histidine-centered mechanism and can reveal non-obvious pH-switching variants.",
"resources": "Requires a physical display library, sorting workflow, recombinant target and downstream clone expression and characterization.",
"validation": "Compare binding across acidic and physiological pH, then verify isolated variants with independent soluble-protein or cell-based assays.",
"limitations": "Experimentally intensive and sensitive to library composition, target format, selection pressure and sorting thresholds; AI is supportive rather than central to the core search loop.",
"novelty": "Strong comparator for mechanism diversity because the reported Fcab examples include pH-sensitive variants without histidine mutations."
},
"reproducibility_status": "INCOMPLETE_DOCUMENTATION",
"open_checks": [
{
"item": "data",
"status": "unknown",
"reason": "Underlying clone-level screening and selection datasets have not been independently retrieved for FrontierLab."
},
{
"item": "environment",
"status": "unknown",
"reason": "Laboratory platform details and instrument settings have not been independently normalized into a reproducible FrontierLab environment record."
}
]
},
{
"candidate_id": "M2",
"name": "Structure-based dual-pH histidine-scanning computational design",
"evidence_ids": [
"PMC6927761"
],
"scope": "Use an antibody-antigen structural model to perform dual-pH histidine-scanning design, prioritize variants in silico, and then validate Fab, cell-surface and full-antibody behavior across acidic and physiological pH.",
"checks": {
"data": {
"status": "unknown",
"detail": "The complete design inputs, intermediate candidate-ranking outputs and raw validation datasets have not yet been independently packaged for FrontierLab.",
"reference": ""
},
"code": {
"status": "unknown",
"detail": "Availability and reproducibility of the original ADAPT implementation or an equivalent executable design stack have not yet been independently verified.",
"reference": ""
},
"environment": {
"status": "unknown",
"detail": "The exact computational environment, protonation/modeling settings and dependency versions have not yet been reconstructed.",
"reference": ""
},
"parameters": {
"status": "documented",
"detail": "The source-derived method centers on structure-based dual-pH histidine scanning and comparison of acidic versus physiological pH binding behavior.",
"reference": "PMC6927761 / doi:10.1080/19420862.2019.1682866"
},
"protocol": {
"status": "documented",
"detail": "The published workflow links computational design to Fab and full-antibody validation, including cell-based and functional assays.",
"reference": "PMC6927761 / doi:10.1080/19420862.2019.1682866"
},
"metrics": {
"status": "documented",
"detail": "Reported validation includes pH-dependent binding/selectivity readouts; FrontierLab has not reproduced these measurements and must treat apparent cell-binding affinity cautiously where avidity or stoichiometry can confound interpretation.",
"reference": "PMC6927761 / doi:10.1080/19420862.2019.1682866"
}
},
"comparison": {
"expected_value": "Provides a targeted in-silico-to-in-vitro design path in which AI can assist structure interpretation, candidate prioritization and explicit reasoning over pH-dependent design constraints before laboratory validation.",
"resources": "Requires a structural model, a reproducible design implementation or equivalent computational stack, recombinant expression and orthogonal binding and functional validation.",
"validation": "Validate prioritized variants across pH using Fab-level measurements, cell-based assays and full-antibody tests; add an orthogonal biophysical assay such as SPR on monomeric Fab where feasible to separate intrinsic affinity from avidity effects.",
"limitations": "Depends on structural-model quality and a histidine-centered search assumption; apparent cell-binding affinity can be influenced by avidity/stoichiometry, so orthogonal validation is required before mechanistic interpretation.",
"novelty": "Best fit for the FrontierLab demo because it exposes a complete AI-assisted design-to-validation chain while making uncertainty, experimental handoff and falsification visible."
},
"reproducibility_status": "INCOMPLETE_DOCUMENTATION",
"open_checks": [
{
"item": "data",
"status": "unknown",
"reason": "The complete design inputs, intermediate candidate-ranking outputs and raw validation datasets have not yet been independently packaged for FrontierLab."
},
{
"item": "code",
"status": "unknown",
"reason": "Availability and reproducibility of the original ADAPT implementation or an equivalent executable design stack have not yet been independently verified."
},
{
"item": "environment",
"status": "unknown",
"reason": "The exact computational environment, protonation/modeling settings and dependency versions have not yet been reconstructed."
}
]
}
],
"selected_candidate_id": "M2",
"rationale": "Researcher selected M2 because its structure-based computational design creates the clearest in-silico-to-in-vitro AI-for-Science demonstration: an AI agent can reason over a structural model, prioritize dual-pH histidine-scanning variants, and hand candidates to experimental Fab, cell, full-antibody and functional validation. This produces a stronger end-to-end FrontierLab narrative than M1, whose core search loop depends more heavily on physical library generation and FACS screening. M1 is retained as a comparator because it can reveal histidine-independent pH-switching solutions and therefore exposes the selected method's histidine-centered bias. M2's assay limitations are treated as a validation requirement rather than ignored: downstream planning should include an orthogonal biophysical check such as SPR on monomeric Fab where feasible to distinguish intrinsic affinity from avidity/stoichiometry effects.",
"uncertainty": {
"source_count": 2,
"machine_flagged_tensions": [],
"source_scope": "Abstract-level claim review; method records are researcher assertions.",
"method_references_independently_checked": false,
"confidence_calibrated": false,
"scientific_execution_verified": false,
"note": "Selection is a reasoned draft decision, not a probability of success or proven superiority."
},
"evaluation_id": "00c440f3a78a95a1703725ea261b992ab51551d1dedd9cf41ba481dd0954f231"
}