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Evolution of Novartis’ Small Molecule Screening Deck Design

Ansgar Schuffenhauer, Nadine Schneider, Samuel Hintermann, Douglas S. Auld, Jutta Blank, Simona Cotesta, Caroline Engeloch, Nikolas Fechner, Christoph Gaul, Jérôme Giovannoni, Johanna M. Jansen, John M. Joslin, Philipp Krastel, Eugen Lounkine, John I. Manchester, Lauren G. Monovich, Anna Paola Pelliccioli, Manuel Schwarze, Michael D. Shultz, Nikolaus Stiefl, Daniel K. Baeschlin

2020Journal of Medicinal Chemistry83 citationsDOI

Abstract

This article summarizes the evolution of the screening deck at the Novartis Institutes for BioMedical Research (NIBR). Historically, the screening deck was an assembly of all available compounds. In 2015, we designed a first deck to facilitate access to diverse subsets with optimized properties. We allocated the compounds as plated subsets on a 2D grid with property based ranking in one dimension and increasing structural redundancy in the other. The learnings from the 2015 screening deck were applied to the design of a next generation in 2019. We found that using traditional leadlikeness criteria (mainly MW, clogP) reduces the hit rates of attractive chemical starting points in subset screening. Consequently, the 2019 deck relies on solubility and permeability to select preferred compounds. The 2019 design also uses NIBR's experimental assay data and inferred biological activity profiles in addition to structural diversity to define redundancy across the compound sets.

Topics & Concepts

DeckRedundancy (engineering)Chemical spaceVirtual screeningComputer scienceComputational biologyChemistryEngineeringStructural engineeringDrug discoveryReliability engineeringBiologyBiochemistryComputational Drug Discovery MethodsMachine Learning in Materials ScienceClick Chemistry and Applications
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