2010
DOI: 10.1021/jm1004495
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Scaffold Explorer: An Interactive Tool for Organizing and Mining Structure−Activity Data Spanning Multiple Chemotypes

Abstract: We introduce Scaffold Explorer, an interactive tool that allows medicinal chemists to define hierarchies of chemical scaffolds and use them to explore their project data. Scaffold Explorer allows the user to construct a tree, where each node corresponds to a specific scaffold. Each node can have multiple children, each of which represents a more refined substructure relative to its parent node. Once the tree is defined, it can be mapped onto any collection of compounds and be used as a navigational tool to exp… Show more

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Cited by 45 publications
(59 citation statements)
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“…The idea of scaffold trees was used in two approaches, Scaffold Hunter [89,90] and Scaffold Explorer [91]. Both approaches allow the analysis of sequential scaffold decorations and reduction of different compounds to the parent scaffolds.…”
Section: Graph-based Representations Of Chemical Spacementioning
confidence: 99%
“…The idea of scaffold trees was used in two approaches, Scaffold Hunter [89,90] and Scaffold Explorer [91]. Both approaches allow the analysis of sequential scaffold decorations and reduction of different compounds to the parent scaffolds.…”
Section: Graph-based Representations Of Chemical Spacementioning
confidence: 99%
“…To illustrate this we will describe one such approach, called Card View TM , which is implemented in the StarDrop TM software platform. Other examples of environments that have explored some of these concepts are Scaffold Explorer [26] and Scaffold Hunter [27].…”
Section: Playing With Cardsmentioning
confidence: 99%
“…Explorer [11], which allows the user to define the scaffolds with respect to his taskspecific needs, but is targeted more towards the analysis of small data sets. Although these first approaches received a positive feedback from the pharmaceutical community, they are more or less in a prototypical stage with a small user base.…”
Section: Interactive Visualizationmentioning
confidence: 99%