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 MIA joint pain model, as orchestrated at Sygnature Discovery, serves as a robust and highly translational representation of human osteoarthritis (OA) pain.
Central to its pathophysiology is the introduction of monoiodoacetate (MIA) into the articular space, which instigates chondrocyte death and consequential cartilage damage, replicating the degenerative processes witnessed in osteoarthritis. Given this foundational pathology, the model becomes an exemplary tool for the evaluation of prospective OA joint pain targets.
Induction in the MIA model involves a precise intra-articular injection of MIA into the knee joint of rat. To accurately quantify the resultant pain, a dynamic weight-bearing (DWB) methodology is employed. The temporal evolution of pain in this model is noteworthy. The initial period, spanning up to 7 days post-induction, is largely characterized by an inflammatory phase, rendering it sensitive to NSAID intervention. As the model progresses, the late phase, typically between 14 to 28 days, sees a transition to a predominantly NSAID-insensitive pain profile.
Our foundational study design for the MIA joint pain model invariably encompasses 4-6 groups, with each group being populated by 10 subjects, ensuring a rich tapestry of data points and a robust statistical framework. As a testament to the model’s sensitivity and reliability, Naproxen and Dexamethasone have been incorporated and tested as positive controls.
Through rigorous evaluations within the framework of the MIA joint pain model, Sygnature Discovery has identified and operationalized distinct dosing paradigms to elicit the “joint pain” phenotype. Predominantly, doses ranging from 2-3 mg of MIA have emerged as the optimal concentration to drive this phenotype. For the sake of precision and reproducibility, our validation endeavors have consistently employed a dose of 3 mg MIA, optimizing the model’s sensitivity and relevance.
Post-induction, a salient observation is the weight-bearing deficit manifesting in the ipsilateral right hind limb—a physiological reaction that persisted up to four weeks. This persistent alteration in weight distribution underscores the model’s ability to reliably mirror the chronic pain dynamics typically associated with osteoarthritis.
In terms of pharmacological interventions, our findings with the NSAID Naproxen and the steroid Dexamethasone are particularly illuminating. Naproxen demonstrates efficacy primarily within the early phase, aligning with the model’s inflammatory and NSAID-sensitive period. Conversely, Dexamethasone showcases a broader spectrum of activity, exerting therapeutic effects during both the initial inflammatory stage and the subsequent NSAID-insensitive phase. This nuanced differential response further attests to the model’s discriminating power and its capacity to discern between varied pharmacological mechanisms of action.
Conclusion
In summation, the parameters and outcomes observed in the MIA joint pain model at Sygnature Discovery are a testament to the model’s sophistication, reliability, and paramount relevance in the realm of osteoarthritis pain research.