Small Molecules
Do you want to make Design-Make-Test-Analyze (DMTA) cycles more data driven and collaborative so you can ultimately discover more effective and safer drugs? To achieve this requires automation, high-throughput screening, advanced analytics, and machine learning. It also necessitates real-time and long-term assay performance monitoring, harmonization of assays, meticulous documentation of all analysis steps, and ensuring that only high-quality data is used in decision making.
This is where Genedata comes in.
Our Customers
Automate HT Screening. Painlessly.
- Streamline lead discovery with an industrial-grade data infrastructure and automate analysis of small molecule assays including HCS, SPR, BLI, TSA, ADME assays and mass spectrometry.
- Capture data automatically by retrieval of raw data and metadata from analytical instruments to eliminate manual processing.
- Use automatic real-time analysis to assess results and notify teams when data falls below quality standards to save precious reagents and time.
- Monitor data quality over time through sophisticated assay performance control including automatic tracking of high-level trends, plate-to-plate variability, potencies of reference samples.
All data. One platform.
- Seamlessly integrate all instruments and harmonize small molecule assays on one platform. Keep track of all assay types and analytical approaches.
- Consolidate complex experimental results in one place enabling a comprehensive view of compound bioactivity and pharmacology. Systematically assess compounds across different assays.
- Visualize data using powerful built-in tools, such as dose response curves, scatter plots, and histograms. Easily identify outliers and trends and tailor dashboards to support rapid decision making.
- Connect raw data, assay metadata, analysis parameters, and results on one platform to easily re-analyze and ensure data quality, consistency, and reproducibility of results.
- Unite small and large molecule teams with advanced mixed-modality support on one platform e.g., for antibody-drug conjugates or complex formulations such as LNPs.
Accelerate DMTA Cycles. Today.
- Support the entire R&D process from early research through clinical trials. Make more accurate predictions about efficacy and safety, reducing the risk of late-stage failure.
- Facilitate data science and AI/ML approaches with high-quality structured and FAIR data to speed up data analysis and minimize wet lab experiments.
- Easily integrate into existing digital ecosystem and exchange information with CROs and CDMOs. Quickly and seamlessly integrate new functionalities into workflows using unique codeless configuration technology.
- Maximize customization to specific IT research environments via open APIs and extensive documentation and support.
Selected Use Case
Real-Time Monitoring of High-Throughput Assay Performance
Find out how Evotec’s collaboration with Genedata automates data analysis, enhances quality control, reduces time lags, and boosts flexibility, saving time and costs in drug discovery.