Scoring methodology
The unit of record is a compound, in an exposure context, at a mechanism or outcome, supported by a finding. Domain columns are summaries of those records. They are not a substitute for them, and they are not added into one toxicity number.
- A signed score is biological direction and magnitude, from −4 (strongly protective or restorative) to +4 (strong disruption). It is not a human-risk number.
- Confidence (very low through very high) is stored separately. Human relevance (H0–H4) is stored separately. Neither is multiplied into the effect score.
- Null means no quantitative score was justified. Physiological high activity, such as melatonin at MT1/MT2, is not recorded as +4 disruption.
- Within an aggregation group, child mechanisms are one cluster. The cluster contributes its strongest absolute score, not the sum of its members.
- Across clusters in a domain, the headline is the strongest cluster, not the sum of clusters.
- When absolute scores tie, the cluster with higher human relevance is selected, then higher confidence. This is the only way human evidence is weighted more heavily than cellular evidence.
- Opposing directions are not averaged to zero. The headline keeps the larger magnitude, confidence drops one step when an opposing cluster is also present, and both sides stay in the trace.
- Research-only mechanisms, including reorganization energy, never enter the headline unless a later curated row changes that policy. ATP or oxygen changes are not treated as Marcus-theory evidence.
- The exposure-modifier domain does not contribute a profile column.
- Cross-domain pathway tags explain a possible causal chain. They do not collapse those domains into one total.
- Regulatory classifications are a separate layer and are not the scientific score.
- Seed hypotheses are labelled as such. They are starting assessments, not curated consensus.
- Activity magnitude is how strongly a pathway moves. The signed score is the protective or disruptive consequence, and it stays null when that consequence is not justified.
- Study quality belongs to an evidence finding. Evidence confidence belongs to the synthesized assessment. They are not the same field.
- Biological context (organ, tissue, cell, compartment) is stored separately so the same pathway can differ by place. Those rows are still capped inside one aggregation group.
- A dose metric names what a number would mean: prescribed dose, administered dose, dietary concentration, or an environmental concentration. Those metrics are not converted into each other.
What a cell is showing
−4 is strongly protective or restorative. +4 is strong disruption. Zero would mean no meaningful effect was demonstrated. A blank cell means no quantitative score is stored. “Phys.” means high physiological activity, such as melatonin at its own receptors, and is not a disruption score. Confidence and human relevance sit beside the number because potency is not human risk.
Biological activity and consequence
A compound can strongly affect a pathway without that activity being harmful. Melatonin at MT1 and MT2 is high physiological activity with no signed effect score. Activity magnitude records the movement. The signed score records a protective or disruptive consequence, and it stays empty when that consequence is not justified.
Study quality and confidence
Study quality, exposure assessment, confounding, and outcome measurement are properties of a finding. Evidence confidence is the judgment on the assessment those findings support. A finding can remain not assessed while the seed assessment still carries a confidence. They are not copied onto each other.
Biological context and dose
The same mechanism can differ by organ, tissue, cell type, and subcellular compartment. Those contexts are shared lookups. A prescribed dose, an administered experimental dose, a dietary concentration, and an environmental concentration are different metrics. They are not converted into one number. Human relevance stays independent of the effect score.
Gut and microbiome evidence
A shift in alpha diversity, beta diversity, taxonomic composition, or a Firmicutes:Bacteroidetes ratio is a description of the community. It is not a signed toxicity score. The ratio is a measurement, not a mechanism. Generic dysbiosis stays descriptive unless an assessment explicitly supports a functional or adverse consequence. Barrier permeability, LPS translocation, short-chain fatty acids, bile-acid signalling, FXR and TGR5, enteroendocrine signalling, and microbial bioactivation can carry a signed score when the evidence supports that function. Sequencing method, sample site, diet, antibiotics, probiotics, batch effects, and population change what a microbiome result means. They are method context, not a quality grade. Host–microbe xenobiotic mechanisms sit on the exposure domain because they change effective exposure or bioavailability. They do not add a profile column.
Endothelial and vascular evidence
ICAM-1, VCAM-1, eNOS, and endothelial reactive oxygen species are mechanisms. They are not a diagnosis of cardiovascular disease. Nitric oxide bioavailability, vascular tone, the endothelial barrier, angiogenesis, haemostasis, and microvascular function live on a vascular domain that is stored and is not one of the seven profile columns. Adhesion and vascular inflammation remain immune mechanisms, each in its own aggregation group. Endothelial reactive oxygen species remains a redox mechanism in its own group. An outcome such as endothelial dysfunction or a thrombotic event stays separate from the mechanism that might lead to it.
Aggregation groups and pathways
Mechanisms that share an aggregation group are one cluster. The domain headline uses the strongest cluster. It does not add the members. Two empty pathway definitions name a gut-barrier chain and a bile-acid / FXR / TGR5 chain. No compound is attached to either. Pathway membership records the relationship. Aggregation groups, not pathway membership alone, are what currently stop those steps from inflating a score.
External evidence
EDCtox is a synthesis layer. CompTox, ToxCast, ToxRefDB, ToxValDB, EDSP models, EASIS, ECHA, OpenFoodTox, CEBS, eChemPortal, IUCLID, AOP-Wiki, AICIS, APVMA PubCRIS, and PubChem stay external. An imported record does not change a domain score. A ToxCast hit is assay bioactivity. An AICIS inventory listing is industrial availability, not safety. An AOP mapping is a crosswalk, not evidence that every linked chemical causes the adverse outcome. ToxPi is a useful precedent for a multidomain picture. EDCtox does not collapse that picture into one weighted total.
- Exact structure or InChIKey, where a single structure is meaningful.
- DTXSID or another DSSTox curated identity.
- PubChem CID, checked against structure.
- EC number or ECHA substance identity.
- CAS Registry Number, as a useful and non-exclusive identifier.
- Name matching only as a manual review.
- EPA CompTox Chemicals Dashboard. Chemical identity and structure (DSSTox), with links into assay, in vivo, and exposure collections. A CompTox record is a crosswalk and a data source. It is not an EDCtox domain score.
- EPA ToxCast / Tox21. High-throughput assay bioactivity. A hit call is evidence that an assay responded. It is not an adverse outcome and it is not a human endocrine-disruption score.
- EPA ToxRefDB. In vivo animal toxicity studies and treatment-related effects. A ToxRefDB endpoint can later become an evidence finding. It does not arrive as a curated EDCtox assessment.
- EPA ToxValDB. Curated toxicity values and points of departure drawn from many study types. A ToxVal number is a source value with its own critical effect. It is not an EDCtox effect score.
- EPA EDSP endocrine models. Endocrine pathway models, including estrogen, androgen, and thyroid models, plus CERAPP and CoMPARA consensus predictions. A model output is stored as a model-derived assay observation. It is not a measured result unless the source says so.
- EU EASIS. Endocrine-active substance information and study entries used as external evidence. An EASIS study entry is not, by itself, an EDCtox mechanism score.
- ECHA CHEM. Substance identity and regulatory assessments, including endocrine-disruptor conclusions. An authority conclusion that a substance is an endocrine disruptor is a regulatory result. It is a different statement from endocrine activity in an assay.
- EFSA OpenFoodTox. Structured hazard and risk values such as ADI, TDI, and ARfD, with the critical endpoint and population basis when the source gives them. These values belong on the regulatory row, with provenance.
- NIEHS CEBS. Chemical Effects in Biological Systems. Detailed experimental study data. A CEBS accession identifies a study record, not a compound structure key.
- OECD eChemPortal. Federated discovery portal across participating chemical databases. A portal hit is a pointer to a source. It is not itself the study.
- OECD Harmonised Templates / IUCLID. A study-reporting format, not a substance inventory. EDCtox keeps the high-value template fields (guideline, GLP, Klimisch reliability, purpose, strain, assay system, comparator) and leaves species, sex, dose, tissue, and statistics on the existing finding tables.
- OECD AOP-Wiki. Adverse outcome pathways, molecular initiating events, key events, and adverse outcomes. A mapping from an EDCtox mechanism or pathway is a crosswalk. It does not mean every linked chemical causes the adverse outcome.
- AICIS industrial chemicals inventory. Australian industrial-chemical identity and inventory status. Listing means the chemical is available for industrial introduction under AICIS. It is not a toxicity assessment and it is not a statement of safety.
- APVMA PubCRIS. Approved active constituents and registered products. The active ingredient and the formulated product remain separate EDCtox records. Registration status is not a mechanism score.
- PubChem. Structure identity, CID, InChI, InChIKey, SMILES, synonyms, and cross-references. Aggregated PubChem toxicity text is not an EDCtox finding unless the original source is recorded.
Language
In vitro results stay in vitro. Animal results stay animal. Observational human results are associations. A receptor assay is not a disease. Therapeutic dose is not an overdose. A parent compound is not its formulation. Intended pharmacology is not automatically an adverse effect. Contradictory findings stay visible. Regulatory text, when it is added, is a separate layer.