Physicochemical parameters give information about the “drug-likeness” of the compound, with respect to absorption from the intestine. Information about these properties is also valuable when planning optimum conditions for other in vitro ADME assays.
Service List
Lipophilicity (Shake Flask and RP-HPLC Methods)
We measure lipophilicity using both the shake-flask method (logP/D) and high-throughput RP-HPLC (ElogD). These assays quantify how compounds partition between aqueous and organic phases, providing critical data for predicting membrane permeability, oral absorption, and in vivo behavior.
Solubility
Symeres determines both thermodynamic and kinetic solubility using validated shake-flask and spiking methods, with LC-PDA/MS analysis. Early solubility assessment guides reliable in vitro testing and supports predictions of absorption and bioavailability.
Stability in Plasma, Buffer or Biorelevant Media
We evaluate compound stability in plasma, buffer systems, and simulated gastric or intestinal fluids (FaSSIF, FeSSIF, SIF, SGF). Identifying degradation pathways and products helps assess bioavailability and ensures reliable interpretation of pharmacokinetic data.
Plasma Protein Binding
Using rapid equilibrium dialysis (RED), ultrafiltration, or cross-filtration, we quantify the free versus bound fraction of compounds in plasma. These data inform pharmacokinetic modeling and clarify the proportion available for receptor binding and transport.
Red Blood Cell Binding
We measure compound distribution between red blood cells and plasma to determine blood-to-plasma ratios. This binding data supports accurate pharmacokinetic calculations and helps predict in vivo exposure.
Tissue Binding
Binding to tissues such as liver, kidney, brain, or fat is quantified using RED or ultrafiltration with LC-MS/MS. Tissue distribution studies reveal compound accumulation patterns and support PK and toxicity risk assessment.
Microsome and Hepatocyte Binding
We assess compound binding to microsomes and hepatocytes using RED or ultrafiltration. These studies provide the unbound fraction available for metabolism, improving the accuracy of in vitro to in vivo extrapolations.
