Why the Same Compound Can Have Different In Vitro Potencies
A potency value is not a property of a compound in isolation. An IC50 or EC50 depends on what the assay measures, the assay conditions, and how much compound is available to interact with the target. For translation, a value measured in one species or laboratory may therefore be misleading when compared directly with a value from another assay. A defensible comparison first identifies the quantity measured and then corrects only for differences supported by the assay model.
Two distinctions are especially important. First, the concentration added to a well is usually a nominal total concentration; binding to proteins or other assay components can make the free concentration lower. Second, an observed IC50 may depend on a competitor or substrate concentration, whereas an affinity constant is intended to describe binding independently of that particular assay concentration. Neither correction, however, makes unlike functional systems automatically equivalent: receptor abundance and downstream signal amplification can change a functional EC50.
“Free” is relative to the experimental system: \(f_{u,\mathrm{assay}}\) in a cell-culture medium is not necessarily the plasma unbound fraction in an animal or patient. The correction is meaningful only when the fraction has been measured or credibly estimated in the same assay matrix, at relevant concentrations and conditions. A protein-containing medium, serum, cell lysate, plastic surface, or cell membrane can affect the available concentration in different ways.
Correcting a Competitive Assay for Substrate or Tracer
For a reversible competitive inhibitor of an enzyme, the measured IC50 depends on substrate concentration. Under the simple Michaelis–Menten model with competitive inhibition, the inhibition constant \(K_i\) is related to IC50 by the Cheng–Prusoff equation:
The correction follows from the rate equation. For competitive inhibition, the substrate-dependent rate is \(v=V_{\max}[S]/\{K_m(1+[I]_{\mathrm{free}}/K_i)+[S]\}\). Without inhibitor, \(v_0=V_{\max}[S]/(K_m+[S])\). At the IC50, inhibition halves the uninhibited rate, so \(v/v_0=1/2\). Substituting the two rates and cancelling common terms gives \(2(K_m+[S])=K_m(1+[I]_{\mathrm{free}}/K_i)+[S]\). Rearranging yields \([I]_{\mathrm{free}}=K_i(1+[S]/K_m)\), which is the stated equation. Thus, a higher substrate concentration produces a higher apparent IC50 even if the inhibitor’s \(K_i\) is unchanged.
A related correction applies to a simple equilibrium radioligand competition assay. If a test ligand competes reversibly with a tracer at one binding site, the tracer concentration is low enough to avoid depletion, and equilibrium is reached, then \(K_i=IC_{50}/(1+[L]/K_{d,L})\), where \([L]\) and \(K_{d,L}\) are the free tracer concentration and its equilibrium dissociation constant. This is not the enzyme-substrate equation by analogy alone; it follows from the competitive binding model. The quantities \(K_i\), \(K_m\), and \(K_{d,L}\) are not interchangeable.
Worked Example: Correcting Enzyme IC50 for Substrate and Binding
In a hypothetical enzyme assay, a reversible competitive inhibitor has a nominal IC50 of 120 nM. The substrate concentration is \(4K_m\), and the inhibitor’s unbound fraction in the assay mixture is estimated as 0.25 and treated as constant near the IC50. Calculate the unbound IC50 and \(K_i\).
First convert the nominal IC50 to free inhibitor concentration:
The substrate correction factor is \(1+[S]/K_m=1+4=5\). Therefore:
Under the stated competitive-inhibition and equilibrium assumptions, the estimated inhibition constant is 6.00 nM. Reporting only the nominal IC50 of 120 nM would obscure both the reduction in free inhibitor and the substrate-dependent shift in apparent potency.
The formula should not be applied automatically to every assay labelled “IC50.” It assumes the stated competitive mechanism and equilibrium model. Mixed or noncompetitive inhibition, irreversible inhibition, slow binding, substrate depletion, inhibitor depletion, or an uncertain \(K_m\) can make the result inappropriate. For receptor binding, the corresponding tracer correction likewise assumes a one-site competitive equilibrium model; a functional cellular IC50 is not automatically a binding \(K_i\).
Matrix Corrections and Comparison Across Assays
When the main difference is nonspecific binding in assay matrices, a first comparison is often the free concentration at the measured endpoint. If an assay reports nominal \(IC_{50}\), and \(f_{u,\mathrm{assay}}\) is known and approximately constant, then \(IC_{50,\mathrm{free}}=f_{u,\mathrm{assay}}IC_{50,\mathrm{nominal}}\). This places concentrations on a free-concentration scale. It does not correct differences in target sequence, assay endpoint, incubation time, cell permeability, or signalling pathway.
Worked Example: Comparing Nominal Potency in Two Matrices
A hypothetical compound is tested in two otherwise comparable equilibrium binding assays. Assay A reports a nominal IC50 of 80 nM with \(f_{u,\mathrm{assay}}=0.20\). Assay B reports 300 nM with \(f_{u,\mathrm{assay}}=0.10\). Assume the free fractions are measured reliably and are constant near the respective IC50 values. Compare the free IC50 values.
For assay A, \(IC_{50,\mathrm{free}}=0.20(80\ \mathrm{nM})=16\ \mathrm{nM}\). For assay B, \(IC_{50,\mathrm{free}}=0.10(300\ \mathrm{nM})=30\ \mathrm{nM}\). On the nominal scale, assay A appears 3.75-fold more potent because \(300/80=3.75\). On the free scale, its IC50 is \(30/16=1.875\)-fold lower.
The correction reduces the apparent difference but does not erase it. If both assays truly measure the same equilibrium binding process under comparable conditions, the residual difference could reflect measurement uncertainty or another assay difference. If one assay is functional and the other is binding, the two free IC50 values still do not estimate the same pharmacological quantity.
Matrix correction must be based on the matrix actually used. A plasma unbound fraction should not be substituted for the unbound fraction in a cell assay. If binding is concentration-dependent, one constant multiplier may also be wrong: the appropriate free concentration must be estimated at each relevant nominal concentration, or the concentration-response analysis should incorporate the concentration-dependent binding relationship. Similarly, adsorption or precipitation can reduce available compound but should not be labelled protein binding unless that process has been measured and modelled appropriately.
Receptor Expression and Functional Potency
Receptor expression is a distinct issue from free concentration. For a simple equilibrium interaction, the fraction of receptors occupied by a ligand is \(\theta=C_{\mathrm{free}}/(K_d+C_{\mathrm{free}})\), where \(K_d\) is the ligand’s dissociation constant. At a fixed free concentration and fixed \(K_d\), changing receptor abundance does not change this fractional occupancy. It can, however, change the measured response: more receptors can provide greater signal amplification or receptor reserve, so a given occupancy may produce a larger response. Consequently, a functional EC50 can shift when receptor expression changes even if affinity does not.
There is no general multiplier based only on the ratio of receptor expression values that converts one functional EC50 into another. Such a correction would require a justified model linking receptor abundance, occupancy, and response, supported by measurements. When suitable binding or target-engagement data are available, a more interpretable comparison is often the free concentration required for a specified occupancy. That comparison describes target engagement, not necessarily equal functional effect.
Worked Example: Matching Occupancy Rather Than Functional EC50
Two hypothetical cell systems express the same receptor but at different levels. Their measured receptor dissociation constant is \(K_d=15\) nM. System A has a receptor density of 100 fmol/mg protein; system B has 400 fmol/mg. What free concentration gives 70% occupancy in each system, assuming the same equilibrium affinity and negligible ligand depletion?
Starting from \(\theta=C_{\mathrm{free}}/(K_d+C_{\mathrm{free}})\), multiply both sides by \(K_d+C_{\mathrm{free}}\) and rearrange: \(\theta K_d=C_{\mathrm{free}}(1-\theta)\). Thus \(C_{\mathrm{free}}=K_d\theta/(1-\theta)\). Substitution gives:
Under these assumptions, 35.0 nM free ligand gives 70% occupancy in both systems; receptor density does not enter the occupancy calculation. Their functional responses at that occupancy may nevertheless differ. For example, if one system has greater receptor reserve, it may produce a larger response. The receptor-density ratio of four is not itself a valid fourfold correction to either functional EC50.
Assumptions, Diagnostics, and Common Pitfalls
Before comparing values, identify whether each result is a binding IC50, a functional IC50 or EC50, or a fitted affinity constant. Record assay matrix, free fraction, substrate or tracer concentration, relevant \(K_m\) or \(K_d\), incubation time, temperature, pH, and receptor expression. These are not administrative details: they determine whether a correction equation applies and whether the corrected measurements remain comparable.
Determine whether the assay measures binding, enzyme activity, or a cellular response. Use a competitive IC50 correction only when its competitive equilibrium assumptions are plausible.
Use the assay-specific free fraction to convert nominal concentrations when it is measured and sufficiently stable. Use free substrate or tracer concentrations in the corresponding correction.
Compare target, assay format, receptor abundance, and response endpoint. A free-concentration correction does not remove biological or methodological differences.
Useful warning signs include IC50 estimates that change markedly with assay duration, poor agreement between replicate concentration-response curves, unexpected shifts with substrate concentration, or apparent potency that depends on cell density. These can indicate failure to reach equilibrium, substrate or ligand depletion, concentration-dependent binding, aggregation, assay interference, or changes in receptor availability. A correction based on a single \(f_u\), \(K_m\), or tracer \(K_d\) is not reliable if that quantity is uncertain or changes materially across the fitted concentration range.
A common mistake is to treat every measured IC50 as an intrinsic affinity and “correct” it by multiplying by a plasma protein-binding value. This combines two errors: IC50 is assay-condition dependent, and plasma binding is not necessarily the binding in the assay well. The correction is to use the actual assay matrix and endpoint, convert to free concentration only with an assay-relevant unbound fraction, and apply a competitive-model correction only when its assumptions hold. If receptor expression or functional signalling differs, report that limitation rather than inventing a universal numerical adjustment.
| Comparison | What it can address | What it cannot establish by itself |
|---|---|---|
| Raw nominal IC50 values | Observed assay results as reported | Intrinsic affinity or comparable free potency when matrix binding differs |
| Free IC50 values | Differences attributable to measured assay binding | Equivalent target biology or functional effect |
| Competitive-model \(K_i\) | Substrate- or tracer-adjusted affinity under the specified model | Validity when the mechanism, equilibrium, or depletion assumptions fail |
| Occupancy at free concentration | Target engagement under a stated binding model | Equal response across systems with different receptor reserve or signalling |
Check Your Understanding
Answer each question, then compare with the brief solutions below.
- A nominal competitive-inhibitor IC50 is 50 nM, \(f_{u,\mathrm{assay}}=0.40\), and \([S]=K_m\). What is the estimated \(K_i\) under the Cheng–Prusoff assumptions?
- Why should a plasma unbound fraction not automatically be used to correct a cell-assay IC50?
- In a competitive radioligand assay, what additional quantities are needed to adjust IC50 to \(K_i\)?
- Two cell lines have different receptor densities but the same \(K_d\). Does receptor density alone change fractional occupancy at a fixed free concentration? Could it change functional EC50?
- State one reason a free-concentration correction may still fail to make two assays comparable.
Solutions. (1) The free IC50 is \(0.40(50)=20\) nM, and the substrate factor is \(1+1=2\), so \(K_i=20/2=10\) nM. (2) The matrices differ, so the unbound fractions may differ; use a fraction measured or justified for the actual assay medium. (3) The free tracer concentration and its \(K_d\), as well as the competitive equilibrium assumptions, are required: \(K_i=IC_{50}/(1+[L]/K_{d,L})\). (4) No: occupancy depends on free concentration and \(K_d\), not receptor density, under the stated equilibrium model. Yes: signalling amplification or receptor reserve can change functional response and EC50. (5) For example, receptor expression, target sequence, endpoint, or assay equilibration may differ; free concentration alone does not correct those differences.