{"schemaVersion":"maha-epistemic/1.0","evidencePolicyVersion":"mps/0.1","recordId":"urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn","canonicalPath":"/knowledge/biomolecular-engineering/concepts/biomolecular-engineering-sequence-design-with-proteinmpnn","contentHash":"sha256:31abe0e8837ce8b85d6a12cb71cc22d1db51229b3baa36da7cd5dfb852849e57","generatedAt":"2026-08-30T16:03:24.085Z","publicationDecision":{"recordId":"urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn","publicEligible":true,"evaluatedAgainst":"maha-epistemic/1.0","reasons":[]},"claims":[{"id":"urn:maha:claim:biomolecular-engineering-sequence-design-with-proteinmpnn","scope":"Limited to Sequence-design method, benchmark comparisons, experimental validation, and supplementary methods. in “Robust deep learning–based protein sequence design using ProteinMPNN”; this candidate records the concept boundary and does not pool results from uncited systems or studies.","boundary":"Sequence design with proteinmpnn does not by itself establish system-level performance, safety, manufacturability, scalability, economic advantage, clinical benefit, or deployment readiness.","claimKind":"theoretical-model","sourceIds":["source-biomolecular-engineering-proteinmpnn"],"statement":"The cited source supports treating sequence design with proteinmpnn as a distinct concept within the stated biomolecular engineering scope.","replication":{"asOfDate":"2026-08-24","assessment":"Independent replication and cross-platform transfer have not been compiled for this candidate; the evidence maturity refers only to the bounded source contract.","independentReplicationCount":null},"uncertainty":{"kind":"qualitative","statement":"No cross-source quantitative interval is asserted. Definitions, operating conditions, samples, instruments, and outcome measures must be checked against the exact cited locator during review."},"evidenceMaturity":"single-study"}],"sources":[{"id":"source-biomolecular-engineering-proteinmpnn","url":"https://doi.org/10.1126/science.add2187","title":"Robust deep learning–based protein sequence design using ProteinMPNN","rights":{"note":"The candidate uses original boundary language and a short paraphrase linked to the cited source. No source passage, figure, or table is reproduced.","basis":"citation-with-paraphrase","quotationUsed":false},"authors":["Justas Dauparas","Ivan Anishchenko","Nathaniel Bennett","et al."],"boundary":"Benchmark and selected validation results do not establish universal sequence fitness or deployment suitability.","publisher":"Science","establishes":"The study evaluates a neural sequence-design method on specified benchmark and experimental tasks.","identifiers":[{"value":"10.1126/science.add2187","scheme":"doi"}],"publishedAt":"2022-10-07","exactLocator":"Sequence-design method, benchmark comparisons, experimental validation, and supplementary methods."}],"reviewEvents":[{"scope":"source-fidelity","verdict":"approve","reviewId":"epireview_91c77d3b1ec648a296d1dd2ac1fbdac0","rationale":"Sequence design with proteinmpnn binds claim urn:maha:claim:biomolecular-engineering-sequence-design-with-proteinmpnn only to Robust deep learning–based protein sequence design using ProteinMPNN at bioRxiv preprint abstract (10.1101/2022.06.03.494563v1) of the ProteinMPNN study. The audit inspected version-of-record at abstract-only depth and recorded subject and claim support; the claim remains limited to “Limited to Sequence-design method, benchmark comparisons, experimental validation, and supplementary methods. in “Robust deep learning–based protein sequence design using ProteinMPNN”; this candidate records the concept boundary and does not pool results from uncited systems or studies.”. This decision applies only to record urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn at sha256:b38ab10bfe119c71d5e1d33b0acc4475f4821974a641d50672cbd24021e765cc and does not certify truth, external endorsement, independent reproduction, or fitness for use.","reviewedAt":"2026-08-30T16:02:08.460Z","reviewerId":"expert_maha-internal-editorial-scale-v1","reviewMethod":"Each criterion is recomputed from the exact record, its inspected alignment audit, source identity, exact locator, rights basis, claim scope, boundary, uncertainty, replication status, prohibited inferences, and revision digest.","reviewerKind":"internal-editorial","reviewerRole":"AI-assisted record-specific review of inspected source identity, exact locator, bounded claim, uncertainty, non-claims, rights basis, and exact revision. 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This decision applies only to record urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn at sha256:b38ab10bfe119c71d5e1d33b0acc4475f4821974a641d50672cbd24021e765cc and does not certify truth, external endorsement, independent reproduction, or fitness for use.","reviewedAt":"2026-08-30T16:02:08.537Z","reviewerId":"expert_maha-internal-editorial-scale-v1","reviewMethod":"Each criterion is recomputed from the exact record, its inspected alignment audit, source identity, exact locator, rights basis, claim scope, boundary, uncertainty, replication status, prohibited inferences, and revision digest.","reviewerKind":"internal-editorial","reviewerRole":"AI-assisted record-specific review of inspected source identity, exact locator, bounded claim, uncertainty, non-claims, rights basis, and exact revision. 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This decision applies only to record urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn at sha256:b38ab10bfe119c71d5e1d33b0acc4475f4821974a641d50672cbd24021e765cc and does not certify truth, external endorsement, independent reproduction, or fitness for use.","reviewedAt":"2026-08-30T16:02:08.611Z","reviewerId":"expert_maha-internal-editorial-scale-v1","reviewMethod":"Each criterion is recomputed from the exact record, its inspected alignment audit, source identity, exact locator, rights basis, claim scope, boundary, uncertainty, replication status, prohibited inferences, and revision digest.","reviewerKind":"internal-editorial","reviewerRole":"AI-assisted record-specific review of inspected source identity, exact locator, bounded claim, uncertainty, non-claims, rights basis, and exact revision. 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This decision applies only to record urn:maha:record:biomolecular-engineering-sequence-design-with-proteinmpnn at sha256:b38ab10bfe119c71d5e1d33b0acc4475f4821974a641d50672cbd24021e765cc and does not certify truth, external endorsement, independent reproduction, or fitness for use.","reviewedAt":"2026-08-30T16:02:08.685Z","reviewerId":"expert_maha-internal-editorial-scale-v1","reviewMethod":"Each criterion is recomputed from the exact record, its inspected alignment audit, source identity, exact locator, rights basis, claim scope, boundary, uncertainty, replication status, prohibited inferences, and revision digest.","reviewerKind":"internal-editorial","reviewerRole":"AI-assisted record-specific review of inspected source identity, exact locator, bounded claim, uncertainty, non-claims, rights basis, and exact revision. 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