Description
Evaluate one supplied two-regulator Boolean rule.
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.
Evaluate one supplied two-regulator Boolean rule.
When to use this tool
Use Gene Logic Two Regulator Truth Row when you already have firstRegulator, secondRegulator, operation and need to evaluate one supplied two-regulator Boolean rule.
How to use the tool and how it works
- Enter firstRegulator, secondRegulator, operation. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read active. Inspect active before interpreting the associated values.
Require operation AND/OR/XOR; evaluate the corresponding conjunction, disjunction or inequality on the supplied flags.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| firstRegulator | First Regulator | Required. Boolean. |
| secondRegulator | Second Regulator | Required. Boolean. |
| operation | Operation | Required. Text; one of "AND", "OR", "XOR"; maximum UTF-16 length 8192. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| active | Active | Required. Boolean. |
{
"input": {
"firstRegulator": true,
"secondRegulator": false,
"operation": "AND"
},
"output": {
"active": false
}
}Limitations and assumptions
- No regulator activity, molecular mechanism, timing, probability or gene expression is measured or modeled beyond this truth row.
- 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
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