The partition constant, P, is a measure of the propensity of a neutral molecule to differentially dissolve in two immiscible phases, and serves as a quantitative descriptor of lipophilicity. The logP prediction model provides an estimate of the value of the octanol-water partitioning coefficient (also referred to as KOW) as the logarithmic ratio (logP) from structure.
LogP predictions are used as input variables in many of our PhysChem and ADME prediction algorithms including logD, Oral Bioavailability, Blood-Brain Barrier Permeation, Passive Absorption, and several Toxicity models, such as hERG inhibition and Aquatic toxicity.
The logP prediction model incorporates two different predictive approaches—Classic and GALAS (Global, Adjusted Locally According to Similarity). A Consensus logP based on these two models is also available. Experts can investigate each algorithm manually to decide which is more appropriate for particular chemical space, and provide colleagues with guidelines for use.
To improve logP prediction accuracy and make the model more relevant to in-house chemical space or a particular project, the Classic and GALAS algorithms feature the ability for the user to employ custom experimental data in the expansion of the Applicability Domain of a corresponding prediction method. Since Consensus logP predictions are based on both Classic and GALAS logP, this method does not have individual training options. Instead, whenever any of the underlying algorithms has any training data applied, it is automatically incorporated into Consensus prediction.
Pharmaceuticals—used in medicinal chemistry to assess drug likeness; in pharmacokinetics to help determine ADME profiles (the ability of a drug to be absorbed, successfully reach the intended target, be metabolized and excreted); and in pharmacodynamics to understand target receptor binding.
Agrochemicals—applied similarly to pharmaceuticals with the intention of developing herbicides and insecticides.
Environmental—to model migration of dissolved hydrophobic organics in soil and groundwater to help assess waterway pollution, and toxicity to animals and aquatic life.
Consumer Products—used in the formulation of cosmetics, dyes, household cleaners and many other products.
The Percepta prediction modules are available as bundles to offer cost savings for multiple modules, and provide related modules as a package.
ACD/LogP Model predictions are available as a browser-based thin client application on ACD/Percepta Portal; a thick client product (ACD/Percepta for the Desktop); and a batch calculator (ACD/Percepta Batch).