Canvass

Canvass facilitates quantitative high-throughput screening (qHTS) and computational analysis of natural products to evaluate bioactivity across cell-based and biochemical assays.

Key Features:

• Natural Product Library: A curated collection of previously isolated and synthesized natural products characterized for structural diversity and elements shared with approved drugs.
• High-Throughput Screening (HTS/qHTS): Implements quantitative high-throughput screening (qHTS) and automated HTS workflows for rapid evaluation across diverse cell-based and biochemical assays.
• Physicochemical Characterization: Characterizes library compounds by physicochemical properties and structural diversity.
• Data Analysis and Quality Control: Applies quality-control metrics and robust statistical analyses, including clustering and compound promiscuity analyses, to assay data.
• Structural Classification and Activity Profiling: Sorts compounds by structural class and activity profiles to identify differential behaviors and notable activities.

Scientific Applications:

• Large-scale bioactivity surveys: Enables systematic screening to identify bioactive natural products and potential therapeutic candidates from extensive compound collections.
• Activity pattern discovery: Uses clustering and activity profiling to reveal differential behaviors across structural classes.
• Mechanistic hit identification: Identifies specific bioactive compounds, exemplified by (–)-2(S)-cathafoline stabilizing calcium levels within the endoplasmic reticulum.

Methodology:

Automated screening via quantitative high-throughput screening (qHTS) combined with data integration and analysis using quality-control metrics, robust statistical methods, clustering, and compound promiscuity analyses.