Top Ten Reasons You Need CDD Visualization and Advanced Calculations for Drug Discovery Data Analyses

  1. Explore, evaluate all drug discovery data in one visualization environment
  2. Dynamically, interactively explore your data to develop new insights
  3. Find patterns visually in large, noisy datasets
  4. Dynamically filter, explore multiple variables
  5. Harness powerful computational and graphical tools to support your visualizations
  6. Quickly develop hypotheses to guide experiments
  7. Set up workflows to automatically calculate data for visualization
  8. Share your favorite visualizations within a secure, collaborative environment
  9. Visualize in-house, collaborators’, and public data via integrated CDD Vault
  10. Advocate for your interpretation of data with compelling graphics

  1. Explore, evaluate all drug discovery data in one visualization environment

    • Visualize chemical structures and their computed, experimental, and modeled properties
    • Visualize dose-response curves, assay plate heat maps, outlier datapoints
    • Visualize structure-activity tables, structure-property correlations, summary scatter plots
  2. Dynamically, interactively explore your data to develop new insights

    • Filter, subset, deep dive on data behind summary values
    • Explore multiple variables and their possible correlations
  3. Find patterns visually in large, noisy datasets

    • Plot data points by x- and y-axis, color and size; dynamically restrict data ranges
    • Briskly remove subsets of points to focus on related subsets
    • Visually identify outliers and most reliable datapoints to reveal trends in noisy data
  4. Dynamically filter, explore multiple variables

    • “Dial out” datapoints until correlations emerge
  5. Harness powerful computational and graphical tools to support your visualizations

    • Modern, intuitive interface simplifies analysis of local and/or cloud-based data
    • Automatically calculate new properties, ratios, and derivative data
  6. Quickly develop hypotheses to guide experiments

    • Ligand Efficiency, selectivity, therapeutic index, etc.
  7. Set up workflows to automatically calculate data for visualization

    • Private and/or share sessions
  8. Share your favorite visualizations within a secure, collaborative environment

    • Colorful publication quality scatterplots, histograms, and images
    • Real time updates in group meetings
    • Use visualized data sets in new, refined searches
  9. Visualize in-house, collaborators’, and public data via integrated CDD Vault

  10. Advocate for your interpretation of data with compelling graphics

    • One graph is often worth a thousand spreadsheet entries!
    • CDD Visualization provides publication-quality graphics
    • Wow your audience by dynamically subsetting datapoints to highlight your points

From the desk of Peter Gund, CDD Advocate

Translated with Google Translate