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.
The CYP3A4 (Midazolam) kinact/KI assay is designed to quantify the time-dependent inhibition (TDI) potential of compounds against the major drug-metabolising enzyme CYP3A4 using human liver microsomes. This assay evaluates the irreversible or quasi-irreversible inhibition that occurs when compounds form metabolite–enzyme complexes, ultimately affecting drug disposition and potential drug–drug interactions. Midazolam, an FDA-recommended probe substrate for CYP3A4 inhibition studies, is used to monitor enzyme activity, while LC–MS/MS detection ensures high analytical sensitivity and specificity. The approach allows precise determination of kinact, the maximal rate of enzyme inactivation, and KI, the inhibitor concentration at half-maximal inactivation rate. Together these parameters produce the kinact/KI ratio, an important metric for ranking irreversible inhibitors and assessing clinical relevance. Human liver microsomes, pooled across mixed gender donors, ensure biological relevance and translational value. This assay supports drug discovery teams by revealing potential CYP3A4 liabilities early, enabling optimisation of compound design before progressing to more costly studies. As CYP3A4 is responsible for metabolism of over half of marketed drugs, the ability to identify inhibitory liabilities early enhances safety assessment and reduces the risk of late-stage clinical failure.
Protocol Summary
The validation followed a structured process beginning with preparation of test compounds in DMSO and serial dilution to generate a suitable concentration range. Diluted solutions were introduced into pre-incubation plates, after which human liver microsomes were thawed, diluted and added. After an initial equilibration period, NADPH was added to initiate pre-incubation, with staggered timing ensuring consistent termination of all reactions. In parallel, Midazolam substrate solutions were prepared and added to a separate incubation plate. At the conclusion of each pre-incubation time point, a small aliquot was transferred to the incubation plate, initiating the secondary incubation and allowing residual CYP3A4 activity to be quantified. Reactions were stopped by addition to cold acetonitrile, promoting protein precipitation. Following centrifugation, supernatants were diluted with internal standard solution and analysed by LC–MS/MS. Activity values were then used to derive Kobs values via linear regression across time points at each inhibitor concentration. These Kobs values were subsequently fitted by non-linear regression to derive kinact and KI parameters. Replicate analysis and comparison with literature controls ensured assay robustness and reproducibility.
Validation Results
Validation of the CYP3A4 (Midazolam) kinact/KI assay demonstrated robust performance, strong reproducibility, and alignment with established literature values. Mifepristone was used as the positive control to benchmark the system, generating nine independent determinations across the validation exercise. The resulting kinact, KI and kinact/KI metrics showed high consistency and fell within expected ranges, demonstrating the suitability of the assay for reliable assessment of time-dependent inhibition. The mean kinact value obtained for Mifepristone was 0.0871 min⁻¹ in line with expectations. KI was similarly aligned, with a measured mean of 3.17 µM. The resulting kinact/KI ratio was 29.0 min⁻¹ mM⁻¹, again comparable to literature. Coefficients of variation across nine assays were low for kinact (14.2%), KI (32.7%) and kinact/KI (18.7%), demonstrating tight clustering and analytical reproducibility. Together these metrics confirm that the assay reliably quantifies CYP3A4 enzyme inactivation kinetics and is suitable for screening compounds. The strong concordance with literature further supports the scientific validity of the methodology.
1 Zimmerlin, A., Trunzer, M., & Faller, B. (2011). CYP3A Time Dependent Inhibition Risk Assessment Validated with 400 Reference Drugs. Drug Metabolism and Disposition, 1039-1046.