It’s important to lay strong foundations for successful drug discovery at this first stage of the process. Our integrated target identification and validation platform combines AI with expert insights, and rigorous lab validation to guide targets through robust evaluation, ready for hit discovery.
Validated, high-quality hits, delivered through integrated technologies and expert collaboration, give you a confident starting point for faster drug discovery.
Turning promising leads into clinical candidates with speed, precision, and the scientific expertise to generate high-quality data and deliver real patient impact.
Delivering integrated, modality-agnostic drug discovery to tackle complex biology, accelerate development, and advance innovative therapies with confidence.
Advancing next-generation ADCs through payload-focused design, integrated expertise, and collaborative innovation to deliver safer, more selective therapies.
Driving biologics innovation through integrated design, structural biology, and multidisciplinary expertise to accelerate next-generation therapies from concept to clinic.
Combining deep therapeutic expertise with translational insight to design strategies, reduce risk, and accelerate discovery programs toward clinical success.
Accelerating oncology drug discovery through integrated expertise, innovative modalities, and translational insight to deliver candidates with real clinical impact.
Driving immunology and inflammation drug discovery through tailored assays, translational models, and integrated expertise for faster clinical success.
Advancing CNS drug discovery through integrated models, translational biomarkers, and multidisciplinary expertise to overcome complexity and accelerate therapeutic innovation.
Designing and advancing differentiated small-molecule therapies for obesity and diabetes through integrated expertise, mechanistic insight, and translational strategies.
Inobrodib, an exciting, first-in-class oral anti-cancer drug in clinical development by CellCentric, was collaboratively designed, synthesised and supported on its pre-clinical journey by an integrated project team at Sygnature Discovery. Inobrodib is now showing promising results in Phase I and II trials for multiple myeloma and other cancer types.
It’s important to lay strong foundations for successful drug discovery at this first stage of the process. Our integrated target identification and validation platform combines AI with expert insights, and rigorous lab validation to guide targets through robust evaluation, ready for hit discovery.
Validated, high-quality hits, delivered through integrated technologies and expert collaboration, give you a confident starting point for faster drug discovery.
Turning promising leads into clinical candidates with speed, precision, and the scientific expertise to generate high-quality data and deliver real patient impact.
Delivering integrated, modality-agnostic drug discovery to tackle complex biology, accelerate development, and advance innovative therapies with confidence.
Advancing next-generation ADCs through payload-focused design, integrated expertise, and collaborative innovation to deliver safer, more selective therapies.
Driving biologics innovation through integrated design, structural biology, and multidisciplinary expertise to accelerate next-generation therapies from concept to clinic.
Combining deep therapeutic expertise with translational insight to design strategies, reduce risk, and accelerate discovery programs toward clinical success.
Accelerating oncology drug discovery through integrated expertise, innovative modalities, and translational insight to deliver candidates with real clinical impact.
Driving immunology and inflammation drug discovery through tailored assays, translational models, and integrated expertise for faster clinical success.
Advancing CNS drug discovery through integrated models, translational biomarkers, and multidisciplinary expertise to overcome complexity and accelerate therapeutic innovation.
Designing and advancing differentiated small-molecule therapies for obesity and diabetes through integrated expertise, mechanistic insight, and translational strategies.
Inobrodib, an exciting, first-in-class oral anti-cancer drug in clinical development by CellCentric, was collaboratively designed, synthesised and supported on its pre-clinical journey by an integrated project team at Sygnature Discovery. Inobrodib is now showing promising results in Phase I and II trials for multiple myeloma and other cancer types.
Sygnature Discovery’s ChromLogD validation demonstrates a fast and reliable chromatographic approach for determining lipophilicity, with excellent reproducibility across inter‑ and intra‑assay experiments. The method offers a practical, high‑throughput alternative to shake‑flask assays, supporting confident ADME decision‑making in early drug discovery.
About the Assay
Sygnature Discovery’s ChromLogD assay is a chromatographic method used to determine the lipophilicity of drug molecules by measuring their distribution behavior between aqueous and organic phases. Lipophilicity, expressed as the Log of the distribution coefficient (LogD), is a key determinant of solubility, distribution, permeability and metabolic stability, making its accurate measurement essential for early‑stage drug discovery. ChromLogD provides a rapid, robust alternative to traditional shake‑flask assays, particularly for highly lipophilic compounds that present quantification challenges due to low solubility in aqueous buffer.
In this assay, compounds are analysed on a reversed‑phase UHPLC system using a gradient of aqueous buffer at physiological pH 7.4 and organic solvent. Retention times are compared against a calibration set of reference compounds with known LogD values. By plotting the logarithm of the chromatographic capacity factor against reference LogD values, a precise calibration line is generated. Test compounds and controls are then assigned ChromLogD values based on their retention characteristics.
Protocol Summary
The ChromLogD workflow begins with preparation of test compound solutions from 10 mM DMSO stocks, which are diluted into acetonitrile: water to produce standardized working samples. These are transferred to vials or plates for automated UHPLC analysis. Alongside the test articles, calibrants with known LogD values and control compounds are injected to establish system suitability and calibration accuracy.
During the chromatographic run, compounds elute according to their hydrophobicity, with more lipophilic molecules exhibiting longer retention times. A dedicated dead‑volume marker (sodium nitrate) is used to define the void time of the system. Retention times for calibrants are used to calculate the logarithm of the chromatographic capacity factor (logk’), which is plotted against reference LogD values to generate a linear calibration curve. Test and control compound retention times are then fitted to this curve to obtain ChromLogD values.
This streamlined protocol emphasizes efficient data acquisition, reproducibility across runs and consistent calibration. The approach enables rapid lipophilicity determination without reliance on equilibrium partitioning steps, making it a highly practical tool for high‑throughput ADME screening and compound selection workflows.
Validation Results
The ChromLogD assay validation dataset includes calibrants, dead‑volume markers and multiple control compounds to ensure robust performance. The validation demonstrated excellent reproducibility across both inter‑assay (figure 1) and intra‑assay (figure 2) experiments. Six test compounds—Albendazole, Ketoconazole, Loratidine, Verapamil, Propranolol and Terfenadine—were evaluated across multiple independent runs. Inter‑assay mean ChromLogD values were tightly clustered with low coefficients of variation, indicating robust performance across days and experimental batches. Intra‑assay results reflected similarly strong reproducibility, with most compounds showing 0% variability across triplicate injections.
Figure 1. Graph displaying inter-assay ChromLogD data from n=6 assays
Figure 2. Graph displaying intra-assay ChromLogD data
Summary
The data confirms that the ChromLogD platform is reliable, precise and well suited for lipophilicity assessment in discovery programs. It is particularly valuable in early drug discovery for profiling large numbers of compounds and refining medicinal chemistry design strategies.