Sovicell GmbH

Deutscher Platz 5 B
04103 Leipzig
Germany

Phone

sovicell.com

About Sovicell

Sovicell develops and manufactures the TRANSIL test kits for preclinical ADME and DMPK research. The company specializes in plasma protein binding, tissue binding, and membrane permeability. These test systems support pharmaceutical companies, biotechnology firms, CROs, and research institutions in the selection and quantitative characterization of new drug candidates.

A key area of expertise for Sovicell is plasma protein binding. The TRANSIL portfolio ranges from rapid screening assays for early drug candidate selection to high-resolution test systems for highly and extremely highly protein-bound compounds. For unbound fractions below fu = 1%, specialized TRANSIL assays are available that can quantitatively determine fu values down to 0.001% and below. Thus, the technology covers a measurement range in which conventional methods are increasingly challenged by analytical sensitivity limits, nonspecific binding, or method-related artifacts.

The TRANSIL test kits are suitable for classic small molecules as well as for new modalities and large, complex molecules. These include peptides, lipidated peptides, macrocycles, PROTACs, and protein fragments. The assays offer particular advantages for molecules with very high protein binding, low solubility, pronounced membrane binding, or complex binding behavior.

Other key areas of the TRANSIL portfolio include the quantitative determination of tissue and intracellular binding, as well as the investigation of membrane permeability. These include, in particular, brain tissue binding and permeability across the blood-brain barrier. These parameters are crucial for assessing tissue distribution, local drug exposure, and pharmacokinetic behavior.

All TRANSIL test kits are mechanistic ADME test systems. They combine standardized experiments with mathematical parameter estimation. The models determine biologically relevant ADME parameters while simultaneously verifying whether the experimental data are consistent with the mechanistic assumptions of the respective test system. This integrates model-based quality control directly into the analysis. Users receive not only a calculated parameter but also a quantitative assessment of data quality and model consistency.

Note: This article has been translated using a computer system without human intervention. LUMITOS offers these automatic translations to present a wider range of company presentation. Since this article has been translated with automatic translation, it is possible that it contains errors in vocabulary, syntax or grammar. The original article in German can be found here.

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