Partition Coefficient Calculators
0 calculators tagged with “Partition Coefficient”
All Calculators
No calculators found for this topic.
LogP Formula and Interpretation
P = [compound]_octanol / [compound]_water
LogP = log₁₀(P)
- LogP < 0: hydrophilic (water-preferring); poor membrane permeability; rapid renal clearance
- LogP 0–3: balanced; suitable for most drugs; good oral bioavailability
- LogP 3–5: lipophilic; good membrane penetration but may have metabolic stability issues; blood-brain barrier penetration
- LogP > 5: too lipophilic; poor aqueous solubility; high protein binding; reduced oral bioavailability (Lipinski limit)
Distribution Coefficient (LogD)
LogD accounts for ionization at a specific pH: LogD = LogP − log(1 + 10^(pH − pKa)) for acids; different formula for bases. LogD at pH 7.4 (physiological) is more relevant for predicting drug behavior in the body than LogP.
Lipinski's Rule of Five
Orally bioavailable drugs generally have: MW ≤ 500 Da; LogP ≤ 5; H-bond donors ≤ 5; H-bond acceptors ≤ 10. These are guidelines from analysis of existing oral drugs — not hard rules. Many approved drugs violate one rule.
Measurement Methods
Shake-flask: equilibrate compound between octanol and water phases; measure concentration in each phase by UV/HPLC. HPLC-based: retention time correlates with LogP (faster = more hydrophilic). Computational: Clogp, XLogP3, ALogP — estimated from molecular structure.
Glossary
Frequently Asked Questions
The partition coefficient P = [compound]_octanol / [compound]_water, measured at equilibrium between n-octanol (a model for lipid membranes) and water. LogP = log₁₀(P). It quantifies lipophilicity — how much a molecule prefers fat-like vs. water environments. High LogP (lipophilic): good membrane penetration; high protein binding; potential blood-brain barrier crossing; poor aqueous solubility. Low LogP (hydrophilic): stays in water; poor membrane penetration; rapid renal elimination. In drug design, LogP is a primary property because it predicts: oral absorption; distribution throughout body (blood-brain barrier, tissue penetration); protein binding; metabolic stability.
Lipinski's Rule of Five (1997) describes properties shared by most orally bioavailable drugs from analysis of approved pharmaceuticals: molecular weight ≤ 500 Da; calculated LogP (cLogP) ≤ 5; H-bond donors ≤ 5 (NH + OH groups); H-bond acceptors ≤ 10 (N + O atoms). LogP ≤ 5 is one of the four criteria. Drug candidates violating 2+ criteria generally have poor oral bioavailability. The rule correctly predicts oral bioavailability for ~80% of drugs. Important exceptions: natural products, antibiotics, and many targeted therapies (biologics) violate the rules. The rule is a starting point for drug design, not an absolute boundary.
LogP is the partition coefficient measured (or calculated) for the neutral, non-ionized form of a molecule — a property of the compound independent of pH. LogD (distribution coefficient) is the partition coefficient at a specific pH, accounting for the ionization state of the molecule. Ionized species are generally water-soluble and don't partition into octanol. Formula for an acid: LogD = LogP − log(1 + 10^(pH − pKa)). At pH 7.4 (physiological): if pKa = 5 (acid fully ionized at pH 7.4): LogD = LogP − log(1 + 10^(7.4−5)) = LogP − 2.4. LogD at pH 7.4 is more relevant for predicting drug behavior in blood than LogP, because most drugs are ionizable acids or bases.
The blood-brain barrier (BBB) consists of tight junctions between brain endothelial cells plus efflux transporters (P-glycoprotein, BCRP). Requirements for CNS penetration: moderate LogP (1–4): enough lipophilicity to cross the lipid bilayer but not so high that the compound is trapped in peripheral tissues or rapidly cleared. Low molecular weight (< 450 Da): larger molecules don't passively diffuse across. Limited H-bonding: H-bond donors/acceptors reduce brain penetration. Not an efflux transporter substrate: P-gp pumps many drugs back into blood. LogD at pH 7.4: 1–4 is the sweet spot. BBB penetration is predicted by CNS MPO (multi-parameter optimization) score or calculated from physicochemical descriptors.