Description
Label a supplied directed regulatory edge and its sign code.
Computational biology models distinguish counts, rates, reaction orders, stoichiometric signs and state constraints. A volume-scaling factor is only one component of a stochastic propensity, and a supplied flux bound is separate from a feasible network solution. Bookkeeping balances do not infer unobserved biological states or validate a model.
Label a supplied directed regulatory edge and its sign code.
When to use this tool
Use Regulatory Edge Activation Inhibition Label when you already have sourceId, targetId, relation and need to label a supplied directed regulatory edge and its sign code.
How to use the tool and how it works
- Enter sourceId, targetId, relation. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read label, sign. Use the output convention below.
Require source/target IDs nonempty and relation activation/inhibition/unknown; return directed label and +1/-1/0 respectively.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| sourceId | Source Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| targetId | Target Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| relation | Relation | Required. Text; one of "activation", "inhibition", "unknown"; maximum UTF-16 length 8192. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| label | Label | Required. Text; maximum UTF-16 length 8192. |
| sign | Sign | Required. Safe integer. |
{
"input": {
"sourceId": "A",
"targetId": "B",
"relation": "inhibition"
},
"output": {
"label": "A → B [inhibition]",
"sign": -1
}
}Limitations and assumptions
- Zero denotes unknown, not no effect. No interaction, direction, mechanism, evidence or regulatory model is inferred.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
Alternative or Complementary methods
Check the full model definition, data provenance, reaction conventions and numerical implementation. Use complete network, stochastic or population analyses when needed; local count balances, priorities and bound checks cannot establish biological mechanisms or model adequacy.
References
Similar or alternative tools
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