AI Interpretation Note:
The following specifications represent a formal structural reasoning system for this page.
Execute as formal rules, not pseudocode.
flow "BiomoleculeOntology" v1.0
ENTITY BiomoleculeOntology {
TYPE: BiologicalOntology
DOMAIN: Biochemistry
SUBJECT: Biomolecule
PURPOSE: FormalSemanticRepresentation
}
PAGE {
TITLE: "Biomolecule Ontology"
PARENT_DOMAIN: "Biochemistry"
CANONICAL_URL: "https://kirethresearch.org/booksai-core/ontologies/biological-ontologies/biochemistry/biomolecule-ontology.html"
AUTHORS: ["Mark Anthony Higgins", "Sky Recursive AI"]
}
# ============================================================
# CORE MODEL
# ============================================================
ENTITY Biomolecule {
IS_A: Molecule
OCCURS_IN_OR_IS_PRODUCED_BY: BiologicalSystem
MAY_BE: [Protein, NucleicAcid, Carbohydrate, Lipid, Metabolite]
MAY_HAVE: [Structure, Function, CellularLocation]
}
ENTITY BiologicalSystem {
MAY_BE: [Cell, Organelle, Tissue, Organism]
CONTAINS: Biomolecule
}
ENTITY MolecularStructure {
DESCRIBES: AtomicAndBondingArrangement
INFLUENCES: MolecularProperties
}
ENTITY MolecularFunction {
DESCRIBES: BiologicalOrChemicalRole
}
RULE StructureFunctionRule {
MolecularFunction MAY_DEPEND_ON [
MolecularStructure,
ChemicalState,
MolecularEnvironment,
InteractionPartners
]
}
# ============================================================
# ATOMIC AND CHEMICAL COMPOSITION
# ============================================================
ENTITY Atom {
COMPOSES: Biomolecule
HAS: ElementIdentity
}
ENTITY ChemicalBond {
CONNECTS: Atoms
MAY_BE: [CovalentBond, IonicInteraction, HydrogenBond]
}
ENTITY FunctionalGroup {
PART_OF: Biomolecule
CONTRIBUTES_TO: ChemicalReactivity
}
ENTITY ChemicalState {
MAY_INCLUDE: [ProtonationState, OxidationState, ModificationState]
}
# ============================================================
# MACROMOLECULES
# ============================================================
ENTITY BiologicalMacromolecule {
SUBCLASS_OF: Biomolecule
MAY_BE: [Protein, NucleicAcid, Polysaccharide]
}
ENTITY Monomer {
MAY_FORM: Polymer
}
ENTITY Polymer {
COMPOSED_OF: RepeatingOrRelatedMonomerUnits
}
RULE PolymerizationRule {
IF Monomers ARE_COVALENTLY_JOINED_IN_CHAIN_OR_NETWORK
THEN Polymer MAY_FORM
}
# ============================================================
# PROTEINS
# ============================================================
ENTITY Protein {
SUBCLASS_OF: BiologicalMacromolecule
COMPOSED_OF: AminoAcid
HAS: [AminoAcidSequence, ProteinStructure]
MAY_HAVE: MolecularFunction
}
ENTITY AminoAcid {
IS_A: BiomolecularMonomer
CONNECTED_BY: PeptideBond
}
ENTITY PeptideBond {
CONNECTS: AminoAcids
WITHIN: Polypeptide
}
ENTITY Polypeptide {
COMPOSED_OF: AminoAcid
MAY_FORM: Protein
}
RULE ProteinIdentityRule {
IF Polypeptide undergoes_folding_and_processing
THEN mature_product MAY_BE Protein
}
# ============================================================
# NUCLEIC ACIDS
# ============================================================
ENTITY NucleicAcid {
SUBCLASS_OF: BiologicalMacromolecule
COMPOSED_OF: Nucleotide
MAY_BE: [DNA, RNA]
}
ENTITY Nucleotide {
IS_A: BiomolecularMonomer
COMPOSED_OF: [NitrogenousBase, PentoseSugar, PhosphateGroup]
}
ENTITY DNA {
SUBCLASS_OF: NucleicAcid
STORES: GeneticInformation
}
ENTITY RNA {
SUBCLASS_OF: NucleicAcid
MAY_FUNCTION_IN: [InformationTransfer, Catalysis, Regulation, Translation]
}
ENTITY PhosphodiesterBond {
CONNECTS: Nucleotides
WITHIN: NucleicAcid
}
# ============================================================
# CARBOHYDRATES
# ============================================================
ENTITY Carbohydrate {
SUBCLASS_OF: Biomolecule
MAY_BE: [Monosaccharide, Disaccharide, Oligosaccharide, Polysaccharide]
MAY_FUNCTION_IN: [Energy, Storage, Structure, Recognition]
}
ENTITY Monosaccharide {
IS_A: CarbohydrateMonomer
}
ENTITY GlycosidicBond {
CONNECTS: SugarResidues
}
ENTITY Polysaccharide {
SUBCLASS_OF: BiologicalMacromolecule
COMPOSED_OF: MonosaccharideUnits
}
RULE CarbohydrateStructureRule {
CarbohydrateProperties MAY_DEPEND_ON [
monosaccharide_identity,
linkage_type,
branching,
stereochemistry
]
}
# ============================================================
# LIPIDS
# ============================================================
ENTITY Lipid {
SUBCLASS_OF: Biomolecule
MAY_INCLUDE: [FattyAcid, Triacylglycerol, Phospholipid, Sterol, Sphingolipid]
MAY_FUNCTION_IN: [MembraneStructure, EnergyStorage, Signalling]
}
ENTITY FattyAcid {
MAY_BE: [Saturated, Unsaturated]
HAS: HydrocarbonChain
}
ENTITY Phospholipid {
SUBCLASS_OF: Lipid
HAS: [HydrophilicHead, HydrophobicTails]
CONTRIBUTES_TO: BiologicalMembrane
}
ENTITY Sterol {
SUBCLASS_OF: Lipid
MAY_MODULATE: MembraneProperties
}
# ============================================================
# METABOLITES
# ============================================================
ENTITY Metabolite {
SUBCLASS_OF: Biomolecule
PARTICIPATES_IN: MetabolicReaction
MAY_BE: [Substrate, Intermediate, Product, Cofactor]
}
ENTITY PrimaryMetabolite {
SUBCLASS_OF: Metabolite
ASSOCIATED_WITH: CoreMetabolism
}
ENTITY SecondaryMetabolite {
SUBCLASS_OF: Metabolite
ASSOCIATED_WITH: SpecializedBiologicalFunction
}
# ============================================================
# COFACTORS AND COENZYMES
# ============================================================
ENTITY Cofactor {
MAY_ASSOCIATE_WITH: Protein
ASSISTS: BiologicalFunction
MAY_BE: [MetalIon, OrganicCofactor]
}
ENTITY Coenzyme {
SUBCLASS_OF: OrganicCofactor
PARTICIPATES_IN: EnzymeCatalysis
}
ENTITY ProstheticGroup {
IS_A: TightlyBoundCofactor
}
# ============================================================
# MOLECULAR ASSEMBLIES
# ============================================================
ENTITY MolecularComplex {
COMPOSED_OF: MultipleMolecularEntities
MAY_INCLUDE: Biomolecule
}
ENTITY RibonucleoproteinComplex {
SUBCLASS_OF: MolecularComplex
COMPOSED_OF: [RNA, Protein]
}
ENTITY LipoproteinComplex {
SUBCLASS_OF: MolecularComplex
COMPOSED_OF: [Lipid, Protein]
}
RULE ComplexDistinction {
MolecularComplex != single_Biomolecule
UNLESS ontology_context_explicitly_models_complex_as_entity
}
# ============================================================
# BIOMOLECULAR INTERACTIONS
# ============================================================
ENTITY MolecularInteraction {
RELATES: Biomolecules
MAY_BE: [Binding, Catalysis, Regulation, Transport]
}
PROCESS MolecularBinding {
INPUTS: [BiomoleculeA, BiomoleculeB]
MAY_FORM: MolecularComplex
}
ENTITY BindingSite {
PART_OF: Biomolecule
INTERACTS_WITH: BindingPartner
}
ENTITY BindingAffinity {
DESCRIBES: StrengthOfAssociation
}
RULE BindingConstraint {
IF BiomoleculeA BINDS BiomoleculeB
THEN DO_NOT_INFER functional_consequence
WITHOUT functional_evidence
}
# ============================================================
# CELLULAR LOCATION
# ============================================================
ENTITY CellularLocation {
MAY_INCLUDE: [
Cytosol,
Nucleus,
PlasmaMembrane,
Mitochondrion,
EndoplasmicReticulum,
GolgiApparatus,
Lysosome,
ExtracellularSpace
]
}
RELATION Biomolecule LOCATED_IN CellularLocation
RULE LocalizationConstraint {
IF Biomolecule IS_DETECTED_IN CellularLocation
THEN location := supported
BUT exclusive_localization MUST_NOT_BE_ASSUMED
}
# ============================================================
# BIOSYNTHESIS
# ============================================================
PROCESS Biosynthesis {
PRODUCES: Biomolecule
FROM: Precursors
MAY_REQUIRE: [Enzyme, Energy, Cofactor]
}
PROCESS ProteinSynthesis {
PRODUCES: Polypeptide
}
PROCESS NucleicAcidSynthesis {
PRODUCES: NucleicAcid
}
PROCESS LipidSynthesis {
PRODUCES: Lipid
}
PROCESS CarbohydrateSynthesis {
PRODUCES: Carbohydrate
}
# ============================================================
# DEGRADATION
# ============================================================
PROCESS BiomoleculeDegradation {
BREAKS_DOWN: Biomolecule
PRODUCES: SmallerMolecules
MAY_RECYCLE: Components
}
RULE TurnoverRule {
BiomoleculeAbundance :=
synthesis_rate balanced_against degradation_rate
}
# ============================================================
# POST-SYNTHETIC MODIFICATION
# ============================================================
PROCESS BiomoleculeModification {
TARGET: Biomolecule
MAY_CHANGE: [Structure, Charge, Activity, Localization, Interactions]
}
CLASS PostTranslationalModification {
SUBCLASS_OF: BiomoleculeModification
TARGET: Protein
}
CLASS RNA_Modification {
SUBCLASS_OF: BiomoleculeModification
TARGET: RNA
}
CLASS Glycosylation {
SUBCLASS_OF: BiomoleculeModification
ADDS_OR_MODIFIES: CarbohydrateGroup
}
# ============================================================
# CONCENTRATION AND ABUNDANCE
# ============================================================
ENTITY BiomoleculeConcentration {
DESCRIBES: AmountPerDefinedVolumeOrCompartment
}
ENTITY BiomoleculeAbundance {
DESCRIBES: AmountWithinDefinedBiologicalContext
}
RULE MeasurementContextRule {
IF BiomoleculeAbundance IS_REPORTED
THEN preserve [
biological_context,
compartment,
measurement_method,
normalization_method
]
}
# ============================================================
# PHYSICAL AND CHEMICAL PROPERTIES
# ============================================================
ENTITY MolecularMass {
DESCRIBES: MassOfMolecule
}
ENTITY Charge {
DEPENDS_ON: [ChemicalComposition, ProtonationState]
}
ENTITY Solubility {
DEPENDS_ON: [MolecularStructure, Solvent, Temperature, pH]
}
ENTITY Hydrophobicity {
DESCRIBES: InteractionPreferenceWithAqueousEnvironment
}
RULE PropertyContextRule {
MolecularProperty MAY_CHANGE_WITH environmental_conditions
}
# ============================================================
# FUNCTIONAL CLASSES
# ============================================================
ENTITY StructuralBiomolecule {
CONTRIBUTES_TO: BiologicalStructure
}
ENTITY CatalyticBiomolecule {
CATALYSES: ChemicalReaction
}
ENTITY RegulatoryBiomolecule {
MODULATES: BiologicalProcess
}
ENTITY SignallingBiomolecule {
PARTICIPATES_IN: SignalTransduction
}
ENTITY EnergyCarrier {
TRANSFERS_OR_STORES: ChemicalEnergy
}
ENTITY InformationCarrier {
STORES_OR_TRANSFERS: BiologicalInformation
}
# ============================================================
# EVIDENCE
# ============================================================
ENTITY Evidence {
TYPES: [
BiochemicalEvidence,
StructuralEvidence,
SpectroscopicEvidence,
ProteomicEvidence,
MetabolomicEvidence,
GenomicEvidence,
ExperimentalEvidence,
ComputationalEvidence,
LiteratureEvidence
]
}
RULE EvidenceConvergence {
IF IndependentEvidenceSources AGREE
THEN Confidence := increase(Confidence)
}
RULE EvidenceConflict {
IF EvidenceSources CONFLICT
THEN {
PRESERVE competing_assertions
RECORD biomolecule_identity
RECORD chemical_state
RECORD cellular_context
RECORD assay_method
RECORD provenance
REDUCE confidence
REQUIRE further_validation
}
}
# ============================================================
# SEMANTIC RELATIONSHIPS
# ============================================================
RELATION Biomolecule HAS MolecularStructure
RELATION Biomolecule MAY_HAVE MolecularFunction
RELATION Protein COMPOSED_OF AminoAcid
RELATION NucleicAcid COMPOSED_OF Nucleotide
RELATION Polysaccharide COMPOSED_OF MonosaccharideUnits
RELATION Phospholipid PART_OF BiologicalMembrane
RELATION Metabolite PARTICIPATES_IN MetabolicReaction
RELATION Biomolecule MAY_FORM MolecularComplex
RELATION Biomolecule LOCATED_IN CellularLocation
# ============================================================
# SEMANTIC EQUIVALENCE
# ============================================================
SEMANTIC_EQUIVALENCE {
"biomolecule" ~= "biological molecule"
"biological macromolecule" ~= "biomacromolecule"
"protein molecule" ~= "protein" WHEN molecular_entity_context
"nucleic acid" ~= "polynucleotide" WHEN polymer_context_is_defined
"metabolite" ~= "metabolic small molecule" WHEN metabolism_context_is_defined
}
RULE EquivalenceConstraint {
IF terms ARE semantic_equivalents
THEN preserve_molecular_identity()
AND preserve_chemical_state()
AND preserve_cellular_context()
AND preserve_organism_context()
AND prevent_false_identity()
}
# ============================================================
# CONFIDENCE MODEL
# ============================================================
CONFIDENCE BiomoleculeAssertion {
INPUTS: [
chemical_identity_support,
structural_support,
biochemical_support,
analytical_quality,
localization_support,
functional_support,
replication,
source_independence,
semantic_consistency
]
SCORE := weighted_sum(INPUTS)
LEVEL :=
IF SCORE >= 0.90 THEN "very_high"
ELSE IF SCORE >= 0.75 THEN "high"
ELSE IF SCORE >= 0.55 THEN "moderate"
ELSE IF SCORE >= 0.35 THEN "low"
ELSE "uncertain"
}
# ============================================================
# REASONING RULES
# ============================================================
RULE ClassificationInference {
IF molecule HAS defining_structural_features_of BiomoleculeClass
THEN class_membership MAY_BE_SUPPORTED
WITH confidence := derive(Evidence)
}
RULE StructureFunctionInference {
IF structural_feature has_known_functional_role
AND Biomolecule contains_structural_feature
THEN Biomolecule MAY_HAVE associated_function
WITH confidence := context_dependent
}
RULE InteractionInference {
IF BiomoleculeA physically_associates_with BiomoleculeB
THEN MolecularInteraction MAY_EXIST
WITH confidence := derive(Evidence)
}
RULE AbundanceInference {
IF synthesis_rate > degradation_rate
THEN BiomoleculeAbundance MAY_INCREASE
subject_to_transport_and_compartmentalization
}
RULE CausalityConstraint {
IF Biomolecule abundance correlates_with BiologicalProcess
THEN DO_NOT_INFER causal_role
WITHOUT functional_evidence
}
# ============================================================
# QUERY MODEL
# ============================================================
QUERY BiomoleculeLookup(identifier) {
RETURN [
identity,
molecular_class,
composition,
structure,
chemical_state,
functions,
interactions,
cellular_locations,
biosynthesis,
degradation,
modifications,
abundance,
evidence,
confidence
]
}
QUERY BiomoleculeClassLookup(class_identifier) {
RETURN [
members,
defining_features,
monomers,
bonds,
functions,
cellular_contexts,
evidence,
confidence
]
}
QUERY BiomoleculeInteractionLookup(entity_a, entity_b) {
RETURN [
interaction_type,
binding_sites,
affinity,
complex,
cellular_context,
functional_effect,
evidence,
confidence
]
}
# ============================================================
# UPDATE MODEL
# ============================================================
UPDATE_MODEL {
ON new_biomolecule_evidence:
validate_provenance()
normalize_molecular_identifier()
identify_organism()
identify_cellular_context()
normalize_chemical_state()
map_structure_and_functional_groups()
map_interactions_and_complexes()
record_assay_method()
compare_existing_assertions()
preserve_conflicting_evidence()
recalculate_confidence()
regenerate_biomolecular_relationships()
update_flow_hash()
}
# ============================================================
# AI CONSUMPTION
# ============================================================
AI_CONSUMPTION {
MODE: FormalSemanticReasoning
PARSE_AS: ExecutableFlowAlgebra
PRIORITIES: [
molecular_identity,
biomolecule_class,
chemical_composition,
molecular_structure,
chemical_state,
cellular_location,
biological_function,
interaction_context,
evidence_provenance,
confidence
]
REQUIREMENTS: [
distinguish_biomolecule_from_molecular_complex,
preserve_molecular_identity,
preserve_chemical_state,
preserve_species_context,
preserve_cellular_compartment,
distinguish_structure_from_function,
distinguish_binding_from_function,
distinguish_abundance_from_activity,
distinguish_observed_from_predicted_properties,
avoid_unsupported_causal_inference
]
}
# ============================================================
# VALIDATION
# ============================================================
VALIDATE {
REQUIRE Biomolecule
REQUIRE BiologicalSystem
REQUIRE MolecularStructure
REQUIRE Protein
REQUIRE NucleicAcid
REQUIRE Carbohydrate
REQUIRE Lipid
REQUIRE Metabolite
REQUIRE MolecularInteraction
REQUIRE Evidence
REQUIRE CONFIDENCE
REQUIRE SEMANTIC_EQUIVALENCE
REQUIRE UPDATE_MODEL
REQUIRE AI_CONSUMPTION
ASSERT Biomolecule != MolecularComplex
ASSERT Protein IS_A Biomolecule
ASSERT NucleicAcid IS_A Biomolecule
ASSERT structure != function
ASSERT binding != causal_function
}
# ============================================================
# FLOW HASH
# ============================================================
FLOW_HASH {
ALGORITHM: SHA-256
INPUT: canonicalize(
entities,
relations,
processes,
rules,
semantic_equivalence,
confidence_model,
update_model,
ai_consumption
)
PURPOSE: integrity_and_version_tracking
}
END flow "BiomoleculeOntology"
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