ACD/Labs Featured Content

  1. How To Benchmark Your Digital Transformation Performance And AI-Readiness 6/18/2026

    AI investment is rising across life sciences, but data challenges stall real-world adoption. Discover what is holding teams back and how to turn AI potential into practical scientific impact.

  2. The History Of Chemical Nomenclature And ACD/Name 6/18/2026

    Modern chemical naming requires algorithmic precision to match evolving standards and new compound classes. Up-to-date nomenclature ensures regulatory compliance and seamless workflow integration.

  3. Navigating Drug Design In 'Beyond The Rule Of 5' Landscape 6/17/2026

    New drug modalities are transforming treatment but bring new challenges. See how hybrid approaches that combine biologics and chemistry are redefining the design of innovative therapies.

  4. Liberate Your Workflow: Flexible, Multi-Technique Chemical Data Analysis 6/17/2026

    Scientific workflows are no longer confined to one device. Cross-platform access to analytical data is becoming essential, helping researchers stay productive and collaborate more effectively.

  5. 5 Ways To Digitalize Your Research Lab And Accelerate Discovery 6/17/2026

    Time in the lab is often lost to repetitive tasks and inefficiencies. Examine how digital tools can streamline workflows to help scientists spend less time searching and more time researching.

  6. Shining A Light On Dark Data 6/11/2026

    Centralizing data unlocks faster insights, reduces duplicated effort, and improves compliance. By overcoming silos and “dark data,” organizations can enable efficient search, reuse, and analysis.

  7. Integrated Stability Workflows That Reduce Manual Data Handling 5/28/2026

    Integrated accelerated stability workflows reduce manual data handling while improving confidence in shelf‑life predictions. Help your teams move faster with fewer experimental demands.

  8. 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.

  9. 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.

  10. 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.