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.
Discover precise insights into brain neurochemistry with Sygnature Discovery's in vivo microdialysis and cOFM services. With over 20 years of expertise, we design bespoke studies that reveal how compounds modulate neurotransmitter systems in health and disease. Using UHPLC/HPLC with electrochemical detection or mass spectrometry, we deliver robust PK/PD data to support confident CNS decision making.
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.
AI Meets Expertise: A hybrid Workflow For Modern Target ID | QIAGEN & Sygnature
In drug discovery, generating targets is no longer the challenge.
The real question is how to identify the few worth investing months of research and significant resources to pursue.
Hear expert perspectives on how AI, pathway analysis and scientific expertise are shaping modern target identification.
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.
Advancing Pain Research with Naᵥ1.7 and Naᵥ1.8 Electrophysiology
Chronic pain remains one of the most significant unmet needs in drug discovery. While many current therapies can provide symptom relief, concerns around efficacy, tolerability, and dependence continue to drive the search for alternative approaches. Among the most widely studied targets are the voltage-gated sodium channels NaV1.7 and NaV1.8, which play distinct but complementary roles in peripheral pain signaling (Table 1).
Table 1. NaV1.7/1.8 activity in pain signaling
Naᵥ1.7
Naᵥ1.8
Amplifies small depolarizations
Generates large inward sodium current
Helps the neuron reach action threshold
Supports the generation of action potential
Initiates pain signaling
Supports action potential propagation
Figure 1. Neuronal hypersensitivity mediated by Naᵥ1.7 and Naᵥ1.8 in chronic pain conditions
Genetic and physiological studies have established NaV1.7 as a key regulator of pain perception. Loss-of-function mutations in the channel are associated with congenital insensitivity to pain, while gain-of-function mutations can lead to severe pain disorders. NaV1.8, by contrast, is expressed predominantly in nociceptive sensory neurons and contributes to the generation and propagation of action potentials associated with painful stimuli. Together, the two channels are widely investigated as targets for the development of non-opioid analgesics.
Figure 2. Example of I-V activation current traces measured from Naᵥ1.8 cells (n=23); a series of pulses increasing in +10 mV steps from -110 mV to +60 mV are applied from a holding potential of -120 mV every 20 s.
For drug developers pursuing these targets, one of the principal challenges is distinguishing meaningful pharmacology from broad sodium channel inhibition. Small differences in selectivity can have significant implications for efficacy, safety, and the overall progression of a discovery program. This places considerable importance on generating reliable functional data early in the drug discovery process.
Why Sygnature Discovery?
Understanding sodium channel pharmacology requires both reliable functional measurements and the ability to compare activity across closely related channel subtypes. Sygnature Discovery has developed a sodium channel electrophysiology platform spanning recombinant NaV1.1-1.8 assays together with human iPSC-derived sensory neuron models, enabling evaluation of both target engagement and subtype selectivity.
Figure 3. Electrophysiological profiling across recombinant Naᵥ channel subtypes enables comparison of channel behavior and supports assessment of subtype selectivity.
Rather than relying on a single screening approach, researchers can combine automated electrophysiology, manual patch clamp studies and sensory neuron assays to investigate how compounds interact with pain-relevant sodium channels. This enables functional activity to be assessed in both controlled recombinant systems and more physiologically relevant cellular models. For organisations developing sodium channel-targeted pain therapeutics, understanding whether compounds demonstrate meaningful subtype selectivity is critical. Generating reliable functional data that differentiates activity across closely related sodium channel subtypes remains an important challenge during hit identification and lead optimization.
Our Approach to the Challenge…
The program focused on generating electrophysiological data to characterise pain-relevant sodium channels, with particular emphasis on NaV1.8 pharmacology and comparative assessment with NaV1.7 activity. Automated patch clamp methods were used to measure sodium currents under defined voltage-clamp conditions and to evaluate the effects of pharmacological modulators on channel function.
Particular emphasis was placed on NaV1.8, a target of growing interest for peripheral pain indications. Characterization studies examined channel activation and inactivation properties, assay stability, and pharmacological responses using reference compounds. Concentration-response experiments with the selective NaV1.8 inhibitor A803467 demonstrated reproducible inhibition across independent runs, providing an internal benchmark for assay performance (figure 4).
Figure 4. Concentration-response curve showing the concentration-dependent block in the presence of the specific NaV1.8 antagonist, A803467 over 3 different runs on the same day, and a table with the calculated IC50 for each run.
The broader sodium channel platform also enabled comparison between closely related channel subtypes, helping to identify compounds with differentiated activity profiles and supporting selectivity assessment during lead optimization (figure 5).
Figure 5. Differential responses observed between NaV1.7 and NaV1.8 demonstrate the value of subtype profiling when evaluating sodium channel modulators.
The work demonstrated that NaV1.8 activity can be measured reproducibly using standardised electrophysiology workflows, while the broader platform supports comparative assessment of additional sodium channel subtypes, including NaV1.7. Across the NaV1.8 assay, consistent current amplitudes, high proportions of successful recordings and reproducible responses to reference compounds indicated stable assay performance (figure 6 and 7).
Figure 6. Sodium current amplitude (nA) measured across different days, consistently showing NaV1.8 currents above -1.5 nA.Figure 7. Number of positive cells (in %) measured across different days, consistently showing above 60% success rate.
Importantly, the data highlighted the value of functional electrophysiology when studying sodium channels. While binding and indirect screening approaches can provide useful information, direct measurement of channel activity can provide additional insight into how compounds influence ion flow and neuronal excitability. This can be particularly relevant for programs seeking to differentiate molecules based on efficacy, state dependence or subtype selectivity.
Our Impact on Pain-Relief Discovery Programs
Access to functional data across both NaV1.7 and NaV1.8 enabled comparison of compound activity within a pain-relevant sodium channel panel. This provided additional context for evaluating pharmacological profiles and supported progression decisions during optimization activities.
By integrating recombinant channel assays with human sensory neuron capabilities, programs could also begin to explore whether activity observed in reductionist systems translated into more biologically relevant models. This creates a framework for progressing from initial screening data towards a broader understanding of how compounds may behave in pain-related cellular systems.
For organizations developing next-generation pain therapeutics, confidence in sodium channel data is essential. Reliable electrophysiology studies support compound prioritization, provide evidence for progression decisions and help focus resources on molecules with the most promising pharmacological profiles.
As interest in NaV1.7/1.8 continues to grow, access to robust functional assays and translationally relevant models provides a practical foundation for advancing non-opioid pain discovery programs and supporting key development decisions.
Key Takeaways
NaV1.7/1.8 continues to be widely investigated as targets for non-opioid pain therapies.
Understanding subtype-selective pharmacology is important for evaluating efficacy and safety risk.
Functional electrophysiology provides direct measurement of sodium channel activity and pharmacology.
Reproducible NaV1.8 data using reference inhibitors demonstrated consistent assay performance.
Human sensory neuron models can provide additional biological context beyond recombinant systems.