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A congeneric series of endothelin antagonists are listed in the Canvas spreadsheet (left). For each structure, the 2D representation and properties are shown. Heatmaps color the properties (MW, AlogP, HBA and HBD) allowing for rapid visual analysis. Details of the MW distribution is illustrated with a histogram (top right). The antagonists were separated into clusters using the Hierarchical Clustering method and displayed in an interactive dendrogram panel (bottom right), where each cluster has a distinct color.

Canvas: A comprehensive cheminformatics computing environment
Canvas is a powerful suite of cheminformatics tools built on innovative technologies that achieve unmatched performance and versatility. Canvas offers solutions to a wide range of problems faced by researchers with all levels of modeling expertise.

The Advantages of Cheminformatics
The discovery of novel therapeutic agents requires exploring increasingly expanded and complex chemical space, resulting in rapidly growing data proliferation. Computational techniques that scale favorably with the expanding chemical space and provide efficient insights have become critical to any lead discovery and lead optimization effort.

Cheminformatics techniques such as fingerprint-based similarity searching and substructure matching can screen millions of compounds in seconds; clustering and diversity selection can analyze and improve the content of real and virtual compound libraries; principal components analysis and self-organizing maps reduce complex, high dimensional information into easily visualized relationships in a small number of dimensions; and supervised learning techniques offer quantitative models that elucidate structure-activity relationships and provide insights into new compounds' activities.

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