Drug Discovery App CS WP

  1. Workflow For Chemical Characterization And Database Curation 5/28/2026

    Confident identification of known and unknown compounds starts with smarter LC/MS and GC/MS workflows. Learn how structure elucidation, verification, and centralized data curation work together.

  2. Improving pKa Prediction Accuracy For PROTACs 5/28/2026

    Gain insight into how localized modeling of ionizable centers, supported by curated experimental data, delivers reliable predictions that strengthen physicochemical decision-making.

  3. Property-Based Optimization Of Pharmaceutical Lead Compounds 5/28/2026

    Property-driven optimization helps medicinal chemists focus synthetic effort where it matters most. See how integrating ADME and physicochemical predictions can surface better-balanced lead candidates.

  4. Deepening Digitalization In Drug Discovery At PTC Therapeutics 5/28/2026

    Digital integration of physicochemical property prediction transforms how chemists evaluate compounds, enabling faster analysis, stronger structure, and more informed decisions across libraries.

  5. Accelerating Structure Verification Across Novartis 5/28/2026

    Automated structure verification integrated into open-access NMR workflows cuts review time dramatically while maintaining confidence in results. See how smart parameter optimization improves efficiency.

  6. How GSK Are Revolutionizing HTE 5/28/2026

    High-throughput chemistry delivers speed and efficiency, but only with the right digital backbone. See how integrated automation and analytics help chemists extract more value from every plate.

  7. The Future Of DMTA In Drug Discovery And Development 5/28/2026

    AI‑enabled DMTA cycles connect design, experimentation, and analysis through structured data and automation, reducing manual handoffs while accelerating discovery, development, and CMC decision‑making.

  8. Multi-Technique, Vendor Neutral Analytical Data Handling For Chemists 5/21/2026

    Managing analytical data across instruments doesn’t have to slow decision-making. Learn how a vendor-neutral, multi-technique approach helps chemists access, process, and report results efficiently.

  9. Simplify And Streamline Method Development With In Silico Modeling 5/19/2026

    Automated screening paired with in silico modeling can cut method development time while improving robustness. See how combining experimentation and simulation enables faster decision‑making.

  10. Standardization Of Analytical Data: Best Practices 5/19/2026

    Standardized analytical data is key to improving data quality, reuse, and AI readiness. Explore the challenges of fragmented formats and gain practical guidance on building future-proof foundations.