EC50 Calculator (Dose–Response Curve Fit)
Fit a four-parameter logistic agonist dose–response curve and get the EC50, Hill slope, Emax and R² from concentration–response data.
The EC50 Calculator fits a variable-slope four-parameter logistic curve to concentration–response data by least squares and reports the EC50 (concentration producing half-maximal effect), log EC50, Hill slope, baseline and Emax plateaus and R².
Free, runs in your browser. Nothing you enter is uploaded.
How to use it
- Paste concentrations and responses.
- Read EC50, Hill slope and Emax.
- Constrain to 0–100 % for normalised data.
What you enter
- ≥ 4 concentrations
- Response per concentration
What you get
- EC50 and log EC50
- Hill slope
- Baseline and Emax
- R²
Formula
y = Bottom + (Top − Bottom) / (1 + 10^((logEC50 − log₁₀x) · Hill))
Identical to the IC50 model; for an increasing response the fitted Hill slope is positive and the EC50 is the midpoint between baseline and Emax.
Worked example
Input: 1–3000 nM; response 3 8 22 48 71 88 96 99 %
Result: EC50 = 34.8 nM, Hill slope 0.91, Emax 100.5 %, R² > 0.999
Half-maximal activation at ~35 nM with a near-unity slope.
Questions
What is the difference between EC50 and Kd?
EC50 is a functional potency measure from a response curve; Kd is the equilibrium binding affinity. They coincide only under specific assumptions (no receptor reserve, direct proportionality of response to occupancy).
How many concentrations do I need?
At least 6–8 spanning about two log units on either side of the EC50 so both plateaus are defined.
Limitations
- Both plateaus should be defined by data.
- Relative EC50 unless plateaus are constrained to 0–100 %.
References
Related reading
- How to Calculate Cell Viability: Methods and Formulas
- Pharmacogenomics: How Genes Affect Drug Response
- What is Regression Analysis? A Practical Introduction
More Cell Biology
- IC50 Calculator (Dose–Response Curve Fit)
- MTT Assay Calculator: Cell Viability % and IC50
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All free tools · By Dr. Zubair Khalid, DVM, MS, PhD.