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Diversifying chemical libraries with generative topographic mapping

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ARTICLE DOWNLOAD

Diversifying chemical libraries with generative topographic mapping

10$

Arkadii Lin, Bernd Beck, Dragos Horvath, Gilles Marcou & Alexandre Varnek 

Abstract

Generative topographic mapping was used to investigate the possibility to diversify the in-house compounds collection of Boehringer Ingelheim (BI). For this purpose, a 2D map covering the relevant chemical space was trained, and the BI compound library was compared to the Aldrich-Market Select (AMS) database of more than 8M purchasable compounds. In order to discover new (sub)structures, the “AutoZoom” tool was developed and applied in order to analyze chemotypes of molecules residing in heavily populated zones of a map and to extract the corresponding maximum common substructures. A set of 401K new structures from the AMS database was retrieved and checked for drug-likeness and biological activity.

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Year 2020
Language English
Format PDF
DOI 10.1007/s10822-019-00215-x