Public platform for science, technology, society, and environmental information
Data, methods, and evidence
Data and evidence on Cannabis and cannabinoids
Kannabium brings together content and sources for studying Cannabis sativa, cannabinoids, and their interactions with membrane receptors. Explore biological data, molecular structures, maps, and analytical methods to develop knowledge in bioinformatics, data science, and artificial intelligence (AI).
01 · Cannabinoid ecosystem
The cannabinoid ecosystem at Kannabium
At Kannabium, “integrated Plantae–Animalia cannabinoid ecosystem” is the name used to organize information about Cannabis sativa, its compounds, and cannabinoid interactions with vertebrate receptors. It includes information about genomes and molecules involved in metabolism, biomolecular structures, and geographic, environmental, and socioeconomic data. Plantae–Animalia here connects the plant content with studies in animals.
The AromaCann data curation and governance module presents criteria for documenting sources, checking quality, and defining access and reuse conditions. These criteria guide the organization of portals, maps, and case studies and help identify what each source supports.
- Identify data origin, version, and context.
- Distinguish published results, hypotheses, and proposed AI applications.
- Explain units, methods, and conditions of reuse.
- Support critical reading of sources and communication of results.
Published scientific portals
Three portals: the species, an enzyme, and a receptor
The portals cover the plant, an enzyme involved in cannabinoid production, and a membrane receptor. Each has its own sources, methods, and limits: a botanical record, a molecular structure, and an activity assay answer different questions.
01 · Species-level data
Cannabis sativa
Botany, genetics, plant compounds, geographic distribution, and the history of Cannabis sativa use, with sources for consultation and comparison.
Review the species data02 · Enzyme involved in cannabinoid biosynthesis
THCA synthase
The enzyme converts cannabigerolic acid (CBGA) into tetrahydrocannabinolic acid (THCA). The portal presents its experimental structure, selected amino acids, and visualizations linked to sources.
Review the THCA synthase structure03 · Vertebrate membrane receptor
CB1 receptor
Compare published CB1 receptor structures in different conformations — spatial arrangements — and bound to different molecules. Review the experimental methods and interpretation limits of each model.
Review the CB1 receptor structuresBiological foundations
Evolution and data
Life · Deep time · Data
Evolutionary biology is also a computational science
Sequences, fossils, anatomical characters, geographic distributions, and environmental data help reconstruct the history of life. Computation organizes these records, compares hypotheses, and makes the uncertainty of each analysis explicit.
Explore evolutionary biology →Platform · Subpage under development
Kannabium Virtual Lab
Explore the proposed data analysis, AI, and molecular bioinformatics work to be developed from the Platform’s educational content.
Explore Kannabium Virtual Lab →Three analytical pathways
Study pathways by objective
Choose a pathway according to your question: compare technologies and markets across countries, study computational data and methods, or explore production-chain stages. Links lead to published guides, maps, and studies.
To prepare for these pathways, consult the data analysis foundations.
Evidence workflow
From sources to results: documenting the analysis
The workflow below summarizes what to document when reviewing an analysis: where the data came from, how they were organized, which methods were used, and what the results support. This is methodological guidance, not an automated processing service.
- 01Identify sourcesRecord data origin, identifier, version, dates, and conditions of use.
- 02Standardize recordsOrganize names, fields, and units while preserving original values. Check material, method, and measurement conditions before comparing.
- 03Explain the analysisDescribe methods, parameters, and uncertainty; link derived measurements, such as image counts, to their sources.
- 04Define the applicationExplain the question answered, the use context, and situations in which the result still requires evaluation.
- 05Publish with contextPresent sources, procedures, review status, and interpretation limits.
Cannabis sativa–vertebrate molecular axis
THCA, THC, and the CB1 receptor: processes and interactions
THCA synthase catalyzes the conversion of cannabigerolic acid (CBGA) into tetrahydrocannabinolic acid (THCA) in Cannabis sativa. In a separate transformation called decarboxylation, THCA loses carbon dioxide and forms delta-9-tetrahydrocannabinol (Δ⁹-THC). Δ⁹-THC interacts with the CB1 receptor, a component of the vertebrate endocannabinoid system. Each step requires its own evidence: the enzyme structure alone does not establish THC’s effect on the receptor.
Sources: THCA-synthase reaction (IUBMB) · decarboxylation (Wang et al., 2016) · THC–CB1 interaction: sources in the receptor portal.
Other published content
Maps, computational methods, and technology-market analysis
Infrastructure and governance
Evaluating an artificial-intelligence result requires knowing the data used, the evaluation method, and the conditions of access and use.
BioDev & Data Curation · editorial principle
Data-governance requirements
Responsibilities, quality, access, and reuse
Data governance establishes who is responsible for records, how to check their quality, and under which conditions they can be used. Reviewing an analysis requires identifying its sources and transformations. AromaCann presents these criteria for research, computational applications, and personal-data protection.
- Platform status
- Active development
- Public content
- Continuous technical and editorial review
- Scientific claims
- Linked to declared evidence and limitations
- Governance module
- Public AromaCann guide