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Issue 10, 2015
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Property-based characterization of kinase-like ligand space for library design and virtual screening

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Abstract

A property-based desirability scoring scheme has been developed for kinase-focused library design and ligand-based pre-screening of large compound sets. The property distributions of known kinase inhibitors from the ChEMBL Kinase Sarfari database were investigated and used for a desirability function-based score. The scoring scheme is easily interpretable as it accounts for six molecular properties: topological polar surface area and the number of rotatable bonds, hydrogen bond donors, aromatic rings, nitrogen atoms and oxygen atoms. The performance of the Kinase Desirability Score (KiDS) is evaluated on both public and proprietary experimental screening data.

Graphical abstract: Property-based characterization of kinase-like ligand space for library design and virtual screening

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Publication details

The article was received on 14 Jun 2015, accepted on 29 Aug 2015 and first published on 02 Sep 2015


Article type: Concise Article
DOI: 10.1039/C5MD00253B
Citation: Med. Chem. Commun., 2015,6, 1898-1904
  • Open access: Creative Commons BY-NC license
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    Property-based characterization of kinase-like ligand space for library design and virtual screening

    D. Bajusz, G. G. Ferenczy and G. M. Keserű, Med. Chem. Commun., 2015, 6, 1898
    DOI: 10.1039/C5MD00253B

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