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Neighborhood-Preserving Visualization of Adaptive Structure–Activity Landscapes: Application to Drug Discovery

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  • This research was supported in parts by the Deutsche Forschungsgemeinschaft (DFG, FOR1406, TP4), the Swiss National Science Foundation (grant no. 205321_134783), and the OPO-Foundation Zurich.

Abstract

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Staying fit: A computational approach that generates an intuitive visual fitness landscape (see picture; blue: possible hits, red: nonproductive hits) of chemical space that serves as a roadmap for chemical optimization of drug candidates is presented. Potential compound liabilities can be avoided, multiple properties can be considered at a time, and the information contained in both active and inactive compounds is optimally exploited.

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