{ "vercy": "1.0-draft", "publication": { "status": "research-draft", "adjudicationStatus": "unreviewed", "publishableCanonical": false, "generatedAt": "2026-09-12T08:26:33Z", "providers": [ "Codex" ], "breadth": "recalled by Codex without web access - no source was read", "missingProviders": [], "pass": 2, "cost": { "grok": { "seconds": 19.1, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\n--------\nworkdir: R:\\02_PROJECTS\\02_Meta_Models_Platforms\\Ver.cy\\current\\thing-registry-backlog\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: none\nreasoning summaries: none\nsession id: 01a094b8-acd4-7071-80b0-c53729c202d2\n--------\nuser\nDescribe what is already known about one registered thing. Answer as JSON only, no prose around it.\n\nThing: catalytically perfect enzyme\nSense to describe: (none recorded)\nDomain code: PHY.MAT\nAlso known as: (none)\n\n\nContext for this batch of 1001 things:\n# Ba", "usd": 0.0, "recall": true }, "codex": { "seconds": 68.4, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\n--------\nworkdir: R:\\02_PROJECTS\\02_Meta_Models_Platforms\\Ver.cy\\current\\thing-registry-backlog\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: none\nreasoning summaries: none\nsession id: 01a094b8-acc9-7490-8c3e-9d4ed03f4ff1\n--------\nuser\nYou are drafting a Vercy meta-model for one registered thing. Answer as JSON only, no prose around it.\n\nThing: catalytically perfect enzyme\nRegistry id: vr.tr.catalytically-perfect-enzyme\nPlane / domain: PHY / PHY.MAT\nRegistry definition: (none recorded)\nNames" } }, "enrichment": { "pass": 3, "engine": "claude", "producedAt": "2026-10-06T12:00:00Z", "ingestedAt": "2026-10-06T08:54:58+00:00", "fields": [ "agent_conduct", "ethics", "failure_modes_and_hazards", "owners", "visual_identification" ] }, "gate": { "passed": true, "version": "1.0", "at": "2026-10-07T10:10:30+00:00", "evidence": [ "completeness 1.00", "sense: Wikidata description", "2 live sources", "review by codex: pass" ] } }, "metaModel": { "id": "THING-Q408311", "registryId": "vr.tr.catalytically-perfect-enzyme", "name": "catalytically perfect enzyme", "version": "0.1.0-research.1", "entryKind": "thing", "family": "Thing Registry", "domain": [ "PHY.MAT" ], "status": "research-draft" }, "canonicalUrl": "https://ver.cy/models/thing/q408311/", "model": { "registry_id": "vr.tr.catalytically-perfect-enzyme", "name": "catalytically perfect enzyme", "purpose": "Enable an agent to determine whether an enzyme approaches diffusion-limited catalytic efficiency for a specified substrate and set of conditions, and use that assessment when choosing assays or applications.", "definition": "A catalytically perfect enzyme is an enzyme whose catalytic efficiency for a particular substrate under specified conditions approaches the diffusion-controlled limit, so substrate encounter rather than subsequent catalytic steps chiefly limits its specificity constant.", "scope_statement": "This model owns the condition-dependent catalytic-perfection classification of enzyme instances linked to vr.tr.catalytically-perfect-enzyme in PHY / PHY.MAT, including substrate identity, kinetic evidence, encounter limits and justified operating decisions.", "in_scope": [ "The enzyme variant, active molecular form, substrate and reaction direction to which the classification applies", "Catalytic efficiency and its comparison with an appropriate diffusion-controlled encounter rate", "Experimental conditions and kinetic mechanisms that support or invalidate the comparison", "Evidence quality, conflicting measurements and boundaries of the classification", "Assay and application decisions affected by substrate encounter becoming limiting" ], "out_of_scope": [ "The complete taxonomy, sequence annotation and structural description of enzymes generally", "Substrate and product substance models, including their independent hazard classifications", "The full metabolic pathway or cellular system containing the reaction", "Manufacturing, formulation and commercial specifications of enzyme products", "A universal claim of evolutionary optimality or maximal performance under every condition" ], "distinguishing_features": [ "Classification requires catalytic efficiency approaching the relevant diffusion-controlled encounter rate; a large saturated turnover number alone does not establish it.", "The claim attaches to an enzyme-substrate-condition combination, rather than automatically to every reaction performed by an enzyme family.", "High substrate affinity or a small Michaelis constant alone does not demonstrate efficient conversion of encounters into product.", "Evidence must distinguish molecular encounter limitation from poor bulk mixing, transport through an immobilization matrix or limitations of the assay detector.", "A diffusion-limited specificity constant does not establish that every step of the catalytic cycle, or saturated turnover, is diffusion limited." ], "characteristics": [ { "name": "Qualified enzyme-reaction identity", "kind": "relation", "unit_or_values": "Enzyme accession and variant; active assembly; substrate identity; reaction and direction", "why_it_matters": "Prevents transferring a classification between variants, substrates or reaction directions without evidence." }, { "name": "Catalytic efficiency", "kind": "measurement", "unit_or_values": "kcat/Km in M^-1 s^-1, with uncertainty and kinetic-model assumptions", "why_it_matters": "Provides the principal kinetic quantity compared with a substrate encounter limit." }, { "name": "Turnover number", "kind": "measurement", "unit_or_values": "kcat in s^-1, normalized to measured active-site concentration", "why_it_matters": "Separates saturated cycling performance from efficiency at low substrate concentration." }, { "name": "Michaelis constant", "kind": "measurement", "unit_or_values": "Km in M, with substrate and fixed cosubstrate concentrations specified", "why_it_matters": "Locates the concentration regime for interpreting efficiency and must not be treated automatically as a binding dissociation constant." }, { "name": "Relevant encounter-rate limit", "kind": "measurement", "unit_or_values": "M^-1 s^-1; measured or estimated, with method and uncertainty", "why_it_matters": "Supplies a condition-specific comparator instead of an assumed universal cutoff." }, { "name": "Efficiency relative to encounter limit", "kind": "measurement", "unit_or_values": "Dimensionless ratio (kcat/Km)/kencounter, with propagated uncertainty", "why_it_matters": "Expresses proximity to the proposed limit and flags inconsistent models or measurements." }, { "name": "Assay environment", "kind": "state", "unit_or_values": "Temperature in K or °C; pH; ionic strength in M; viscosity in Pa·s; buffer, cofactors and cosubstrates", "why_it_matters": "Both catalytic chemistry and substrate encounters depend on the surrounding medium." }, { "name": "Classification evidence state", "kind": "category", "unit_or_values": "Unassessed | proposed | supported within stated conditions | disputed | unsupported within stated conditions", "why_it_matters": "Allows an agent to retain uncertainty and prevent unsupported operational claims." } ], "affordances": [ "Assess a catalytic-perfection claim against matched kinetic measurements and an explicit encounter-rate estimate.", "Compare variants or substrates after accounting for assay conditions and active-site normalization.", "Design viscosity, ionic-strength or transient-kinetic experiments to test proposed encounter limitation.", "Predict low-substrate reaction rates within the validated kinetic regime.", "Select whether an application needs improved substrate delivery, enzyme loading or saturated turnover.", "Restrict or revise the classification when new conditions or contradictory evidence are introduced." ], "agent_conduct": { "may": [ "Explain the concept and the diffusion limit it is measured against, citing sources.", "Identify enzymes reported as catalytically perfect, with the substrate and conditions." ], "must_not": [ "Call an enzyme catalytically perfect without stating the substrate and conditions.", "Treat the term as meaning the enzyme is perfect in every respect.", "Overstate commercial or medical claims based on the label." ], "requires_human": [ "Publishing new claims that an enzyme is catalytically perfect." ] }, "ethics": { "considerations": [ "Scientific labels used loosely in marketing mislead buyers and students." ], "affected_parties": [ "Students and researchers", "Buyers of enzyme products" ] }, "owners": { "steward": "Nobody owns the concept; researchers answer for their measurements.", "master_systems": [] }, "visual_identification": [ "Not visible; recognized by kinetic measurements near the diffusion limit.", "Claims should come with substrate, conditions and measured values." ], "failure_modes_and_hazards": [ "Misuse of the label in marketing.", "Comparing values measured under different conditions." ], "what_it_is_for": [ "The term is used in enzyme kinetics to describe catalytic efficiency approaching the limit imposed by enzyme and substrate encounters.", "It supports comparisons of enzymes and assay conditions, provided the substrate, temperature, solution composition and kinetic model are specified." ], "standards_and_regulation": [ "The Enzyme Commission classification issued by the International Union of Biochemistry and Molecular Biology classifies enzymes by their catalysed reactions rather than by diffusion-limited efficiency." ] }, "sources": [ { "id": "wikidata", "title": "Wikidata item Q408311: catalytically perfect enzyme", "url": "https://www.wikidata.org/wiki/Q408311", "url_status": "live", "what_it_supports": "identity and sense of the item", "checked_by": "wikidata-api" }, { "id": "wikipedia-en", "title": "Wikipedia: Diffusion-limited enzyme", "url": "https://en.wikipedia.org/wiki/Diffusion-limited_enzyme", "url_status": "live", "what_it_supports": "general description of the item", "checked_by": "wikidata-api sitelink" } ], "structure": { "bundles": [ { "id": "classification-and-reaction-boundary", "name": "Classification and reaction boundary", "description": "Defines the specific catalytic claim and the molecular participants it concerns.", "rationale": "Catalytic perfection is a qualified kinetic classification, so an agent must first identify exactly what has been classified.", "layers": [ { "id": "meaning-of-perfection", "name": "Meaning of perfection", "description": "Makes the operational criterion explicit.", "findings": [ { "id": "encounter-limited-efficiency", "name": "Encounter-limited efficiency", "description": "The defining claim concerns catalytic efficiency approaching a diffusion-controlled association limit, with few futile encounters; it does not mean unlimited catalytic speed. See [The Moderately Efficient Enzyme: Futile Encounters and Enzyme Floppiness](https://pubmed.ncbi.nlm.nih.gov/26219075/).", "questions": [ { "text": "What quantitative criterion and uncertainty range qualify this enzyme-substrate pair as approaching its encounter limit?", "kind": "definition", "id": "encounter-limited-efficiency-q01" }, { "text": "Does the claim concern low-substrate catalytic efficiency, saturated turnover or a different kinetic quantity?", "kind": "boundary", "id": "encounter-limited-efficiency-q02" } ] } ] }, { "id": "qualified-molecular-identity", "name": "Qualified molecular identity", "description": "Anchors the classification to a reproducible molecular system.", "findings": [ { "id": "variant-substrate-and-direction", "name": "Variant, substrate and direction", "description": "Record the enzyme variant, active assembly, cofactor state, substrate species and reaction direction before attaching kinetic evidence.", "questions": [ { "text": "Which accession, sequence variant and active molecular form were actually assayed?", "kind": "provenance", "id": "variant-substrate-and-direction-q01" }, { "text": "Which substrate species, reaction direction and required cosubstrates delimit the classification?", "kind": "boundary", "id": "variant-substrate-and-direction-q02" } ] } ] } ] }, { "id": "kinetic-measurement-and-inference", "name": "Kinetic measurement and inference", "description": "Captures the measurements and assumptions needed to evaluate catalytic efficiency.", "rationale": "An impressive reported rate is insufficient unless its concentration basis, uncertainty and kinetic interpretation are sound.", "layers": [ { "id": "parameter-estimation", "name": "Parameter estimation", "description": "Connects fitted kinetic parameters to observations and active enzyme.", "findings": [ { "id": "efficiency-and-active-site-basis", "name": "Efficiency and active-site basis", "description": "Record kcat, Km and their ratio where identifiable, or a directly measured low-substrate specificity constant, with active-site normalization and uncertainty.", "questions": [ { "text": "What measurements determine kcat/Km, and what uncertainty follows from the data and fitting procedure?", "kind": "measurement", "id": "efficiency-and-active-site-basis-q01" }, { "text": "How was catalytically active-site concentration established, including inactive enzyme and oligomer stoichiometry?", "kind": "measurement", "id": "efficiency-and-active-site-basis-q02" } ] } ] }, { "id": "mechanism-and-assay-validity", "name": "Mechanism and assay validity", "description": "Checks whether the inferred efficiency represents the intended reaction.", "findings": [ { "id": "valid-specificity-constant", "name": "Valid specificity constant", "description": "Require a kinetic model appropriate to the reaction and controls for assay limitations before interpreting a fitted ratio as encounter efficiency.", "questions": [ { "text": "Are substrate inhibition, cooperativity, reversibility or multiple substrates relevant, and how does the chosen model handle them?", "kind": "boundary", "id": "valid-specificity-constant-q01" }, { "text": "What controls exclude mixing dead time, detector limits, substrate depletion and coupling-enzyme limitation?", "kind": "measurement", "id": "valid-specificity-constant-q02" } ] } ] } ] }, { "id": "diffusion-and-productive-encounters", "name": "Diffusion and productive encounters", "description": "Establishes the physical comparator and tests the proposed limiting process.", "rationale": "The classification requires evidence about encounters, not just a numerical efficiency that appears unusually high.", "layers": [ { "id": "encounter-rate-comparator", "name": "Encounter-rate comparator", "description": "Defines the encounter event and its rate under matched conditions.", "findings": [ { "id": "condition-specific-encounter-limit", "name": "Condition-specific encounter limit", "description": "Record how diffusion, encounter geometry, electrostatic effects and medium properties enter the chosen encounter-rate estimate; distinguish whole-surface collision from productive active-site access.", "questions": [ { "text": "How was the encounter-rate limit measured or calculated for this substrate and enzyme under the assay conditions?", "kind": "measurement", "id": "condition-specific-encounter-limit-q01" }, { "text": "Does the comparator describe any molecular collision, active-site arrival or formation of a catalytically competent complex?", "kind": "definition", "id": "condition-specific-encounter-limit-q02" } ] } ] }, { "id": "mechanistic-discrimination", "name": "Mechanistic discrimination", "description": "Separates encounter limitation from other causes of rate changes.", "findings": [ { "id": "diffusion-perturbation-controls", "name": "Diffusion perturbation controls", "description": "Viscosity perturbations need controls for direct solvent effects on catalysis; such confounding was demonstrated in an alkaline-phosphatase study. See [Alkaline phosphatase is an almost perfect enzyme](https://pubmed.ncbi.nlm.nih.gov/8068674/).", "questions": [ { "text": "How does kcat/Km respond to viscosity changes after controlling for effects on enzyme structure, substrate activity and catalytic chemistry?", "kind": "measurement", "id": "diffusion-perturbation-controls-q01" }, { "text": "What independent evidence separates substrate encounter limitation from conformational gating, chemistry or product-release limitation?", "kind": "measurement", "id": "diffusion-perturbation-controls-q02" } ] } ] } ] }, { "id": "qualified-use-and-evidence", "name": "Qualified use and evidence", "description": "Translates the classification into bounded decisions and preserves its evidential basis.", "rationale": "An agent needs to know when the claim supports an action and when a changed system requires reassessment.", "layers": [ { "id": "operating-regime", "name": "Operating regime", "description": "Connects kinetic classification to the intended application.", "findings": [ { "id": "regime-dependent-intervention", "name": "Regime-dependent intervention", "description": "Record whether the intended operation uses dilute or saturating substrate and whether substrate delivery differs from the assay environment before selecting an intervention.", "questions": [ { "text": "At the intended substrate and cosubstrate concentrations, which validated rate expression predicts performance?", "kind": "action", "id": "regime-dependent-intervention-q01" }, { "text": "Would changing substrate delivery, enzyme concentration or catalytic-cycle kinetics address the measured limitation?", "kind": "action", "id": "regime-dependent-intervention-q02" } ] } ] }, { "id": "claim-traceability", "name": "Claim traceability", "description": "Maintains the distinction between measured support, inference and unresolved claims.", "findings": [ { "id": "evidence-bounded-classification", "name": "Evidence-bounded classification", "description": "Attach each assessment to the primary measurements actually examined, preserve conflicting results and require reassessment when the molecular system or environment changes materially.", "questions": [ { "text": "Which primary experiments support this classification, and which claims remain available only through secondary reports?", "kind": "provenance", "id": "evidence-bounded-classification-q01" }, { "text": "Which variant, substrate, immobilization or environmental changes require new measurements before the classification is reused?", "kind": "boundary", "id": "evidence-bounded-classification-q02" } ] } ] } ] }, { "id": "evidence-and-external-alignment", "name": "Evidence and external alignment", "description": "What the world already says about this thing, gathered so the model can be checked against it.", "rationale": "A model that cannot be lined up against existing standards, identifiers and practice cannot be adopted by anyone who already uses them.", "layers": [ { "id": "reported-evidence", "name": "Reported evidence", "description": "Findings from the breadth pass, kept separate from the structural claims.", "findings": [ { "id": "evidence-confidence-notes", "name": "Check these first", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "This is a kinetic classification of enzyme-substrate pairs, not a single chemical substance with a shared CAS number, composition or hazard classification.", "The quoted efficiency range is an order-of-magnitude convention, not a universal threshold; electrostatic steering and encounter geometry can change the relevant limit.", "Any named example should be checked against measurements for the specific enzyme variant, substrate and assay conditions." ], "questions": [ { "id": "evidence-confidence-notes-q01", "text": "Which of these check these first hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-identifiers", "name": "Identifiers and schemes", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "scheme": "Enzyme Commission (EC) number", "value_or_pattern": "EC x.x.x.x", "note": "Classifies the reaction catalysed; catalytic perfection itself has no EC number and must be established for a particular enzyme-substrate pair." } ], "questions": [ { "id": "evidence-identifiers-q01", "text": "Which of these identifiers and schemes hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-real-world-use", "name": "Real-world use", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Provides a benchmark for comparing enzyme catalytic efficiencies.", "Helps identify when enzyme engineering is constrained by substrate encounter rather than chemical conversion.", "Informs kinetic models of substrate capture at low substrate concentrations." ], "questions": [ { "id": "evidence-real-world-use-q01", "text": "Which of these real-world use hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-measurements", "name": "Typical measurements", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "quantity": "Catalytic efficiency or specificity constant, kcat/Km", "typical_range": "Approximately 10^8-10^9 for commonly cited diffusion-limited enzyme-substrate pairs; the encounter limit depends on the system and conditions.", "unit": "M−1 s−1" } ], "questions": [ { "id": "evidence-measurements-q01", "text": "Which of these typical measurements hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-failure-modes-and-hazards", "name": "Failure modes and hazards", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Interpreting catalytic perfection as unlimited reaction speed: turnover at substrate saturation remains finite.", "Treating catalytic perfection as an intrinsic property independent of substrate, temperature, pH, viscosity and ionic strength.", "Mistaking limitations from mixing or bulk transport for molecular diffusion control.", "Inferring diffusion control from a large kcat/Km value alone without testing the kinetic mechanism." ], "questions": [ { "id": "evidence-failure-modes-and-hazards-q01", "text": "Which of these failure modes and hazards hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-neighbours", "name": "Neighbouring kinds and how to tell them apart", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "name": "Enzyme", "difference": "The broader class of biological catalysts; most enzyme-substrate pairs do not approach the diffusion-controlled efficiency limit." }, { "name": "Diffusion-controlled reaction", "difference": "The broader kinetic category includes nonenzymatic reactions; catalytic perfection applies it to enzyme catalytic efficiency." }, { "name": "High-turnover enzyme", "difference": "A high kcat describes rapid turnover at substrate saturation, whereas catalytic perfection concerns kcat/Km relative to the substrate-encounter limit." }, { "name": "High-affinity enzyme", "difference": "Strong substrate binding does not establish diffusion-limited catalytic efficiency, and Km is not generally identical to a binding dissociation constant." } ], "questions": [ { "id": "evidence-neighbours-q01", "text": "Which of these neighbouring kinds and how to tell them apart hold for the sense of catalytically perfect enzyme this model covers, and on what evidence?", "kind": "provenance" } ] } ] } ] } ] }, "openQuestions": [ "What operational tolerance for approaching the encounter limit should this registry use, and how should measurement uncertainty affect that decision?", "Which enzyme-substrate pairs have sufficiently direct primary evidence to serve as reference instances?", "How should the classification be expressed for multisubstrate, cooperative or non-Michaelis-Menten systems?", "Which encounter-rate definitions and estimation methods give defensible comparisons in crowded, charged or immobilized environments?", "How should conflicting efficiency measurements or apparent values above the estimated encounter limit be adjudicated?" ], "statistics": { "bundles": 5, "layers": 9, "findings": 14, "questions": 22 } }