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A Chemographic Audit of anti‐Coronavirus Structure‐Activity Information from Public Databases (ChEMBL). by Horvath, Dragos; Orlov, Alexey; Osolodkin, Dmitry I.; Ishmukhametov, Aydar A.; Marcou, Gilles; Varnek, Alexandre is a Computer Science article available to read on EtoBox.

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## Abstract Discovery of drugs against newly emerged pathogenic agents like the SARS‐CoV‐2 coronavirus (CoV) must be based on previous research against related species. Scientists need to get acquainted with and develop a global oversight over so‐far tested molecules. Chemography (herein used Generative Topographic Mapping, in particular) places structures on a human‐readable 2D map (obtained by dimensionality reduction of the chemical space of molecular descriptors) and is thus well suited for such an audit. The goal is to map medicinal chemistry efforts so far targeted against CoVs. This includes comparing libraries tested against various virus species/genera, predicting their polypharmacological profiles and highlighting often encountered chemotypes. Maps are challenged to provide predictive activity landscapes against viral proteins. Definition of “anti‐CoV” map zones led to selection of therein residing 380 potential anti‐CoV agents, out of a vast pool of 800 M organic compounds.

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Author

Horvath, Dragos; Orlov, Alexey; Osolodkin, Dmitry I.; Ishmukhametov, Aydar A.; Marcou, Gilles; Varnek, Alexandre

Publisher

Wiley (John Wiley & Sons); Wiley - VCH Verlag GmbH & CO. KGaA; Wiley (ISSN 1868-1743)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)