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STORM Therapeutics: From Lead to Pre-Candidate Nomination in 18 Months
STORM Therapeutics: From Lead to Pre-Candidate Nomination in 18 Months
Case study
scientific solutions | computer aided drug design
Idea Tracker
Connecting every stage of the DMTA cycle in one platform, giving you real-time visibility, faster decisions, and complete control over compound lifecycles without the administrative burden.
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From ideation to synthesis, Idea Tracker manages compound design, progress, and outcomes in one secure, integrated system. We employ a centralised DMTA workflow tracking platform, built on our existing ChemInventory foundation and hosted on Google Cloud as a SaaS solution.
Idea Tracker unifies data from electronic lab notebooks, laboratory information management systems (LIMS), and chemical inventory tools into a single hub. It captures, manages, and tracks compound information throughout the entire drug discovery process. This simplifies the complexity of DMTA workflows, providing real-time visibility and control to accelerate decision making and improve collaboration.
Our Approach
Idea Tracker provides a single source of truth, where all design hypotheses, compound progression data, and analytical results are captured and linked throughout the DMTA cycle.
Our approach enables:
• Data Centralization: Real-time, unified access to compound design hypotheses and synthesis progress.
• Collaboration: Shared, role-based access ensures every team member works with the latest data.
• Traceability: Complete audit trails with user actions, timestamps, and modifications.
• Scalability: Efficiently handles large datasets and multiple concurrent projects.
• Error Reduction: Structured data entry, predefined workflows, and permission management reduce human error.
• Compliance: Robust security and record-keeping ensure adherence to industry standards and regulatory requirements.
Built upon an existing inventory platform, Idea Tracker is scalable and cost-effective, reducing manual tracking, administrative overhead, and tool fragmentation. It accelerates decision-making through real-time collaboration, while integrated analytics and AI deliver actionable insights that optimize processes and drive innovation across the drug discovery pipeline.
Our Technology That Drives Discovery
• ChemInventory-based architecture re-engineered for DMTA workflow management.
• Google Cloud SaaS infrastructure for performance, reliability, and scalability.
• Advanced search and analytics tools including substructure searches and custom query builders.
• API integration for downstream visualization and statistical analysis.
• Machine learning modules for resource optimization and workflow recommendations.
• AI labelling for systematic tagging of AI-aided or AI-generated ideas.
Why Choose Sygnature Discovery
With decades of experience in developing and implementing digital solutions within integrated drug discovery, Sygnature combines informatics, chemistry, biology, and data science expertise to deliver seamless solutions that work.
Our platform provides:
• Accelerated decision-making through live data access and automated workflows.
• Improved collaboration and visibility across multi-disciplinary teams.
• Enhanced data integrity and compliance for regulatory readiness.
• Cost and resource efficiency by leveraging existing infrastructure.
• Actionable insights through integrated analytics and AI-enabled recommendations.
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Related Capabilities
We help you design smarter compounds and make faster decisions by combining AI- powered modeling, extensive scientific expertise, and secure, collaborative data access to solve complex challenges and accelerate your drug discovery journey.
Protein Structure Prediction
Using advanced AI and proven modelling techniques to predict protein structures with confidence, accelerating structure-based drug design and discovering novel therapeutic
possibilities.
Protein Ternary Prediction
Helping you design and optimize ternary complexes with precision, combining advanced modeling and collaborative expertise, making previously “undruggable” targets tractable.
Molecular Dynamic Simulations
Utilizing cutting-edge technologies and proprietary software to uncover hidden interactions, predict ligand stability, and make confident design choices that accelerate your drug discovery program.
Generative AI and Machine Learning
Combining AI-driven design, bespoke ML models and LLM-powered bioinformatics with hands-on collaboration to help you discover Optimized drug candidates faster.
Virtual Screening
Identifying high-quality hits fast through giga-scale virtual screening, curated libraries, and expert triaging to accelerate drug discovery programs.
Target Analysis
From binding sites to druggability, our computational chemistry and protein science teams help you find the right starting points faster, combining structural insight with cutting-edge tools to design compounds that move your project forward with confidence.
Ligand Based Drug Design
Leveraging the properties of known active molecules to rapidly generate and optimize new compounds through ligand-driven insights, AI-powered tools, and collaborative expertise to uncover new chemical space and accelerate discovery.
Structural Based Drug Design
Helping you design better compounds with greater confidence. Utilizing quantum-level insights and dynamic simulations we predict affinity, guide optimization, and help you prioritize the right candidates faster.
FAQs
We support a wide range of target classes, including enzymes, GPCRs, ion channels, and protein–protein interactions, with flexible data models that accommodate diverse assay formats and biological endpoints.
The platform is modality-agnostic, supporting small molecules, peptides, PROTACs, covalent inhibitors, and other emerging modalities.
Fully configurable DMTA workflows integrating design capture, synthesis tracking, biological evaluation, and analytical review. Bespoke custom modules can be tailored to client-specific processes or integrated with existing enterprise systems.
Structured reports, real-time dashboards, and exportable datasets for statistical analysis, visualization and regulatory documentation.
