Literature DB >> 32568503

Gini Coefficients as a Single Value Metric to Define Chemical Probe Selectivity.

Andrei Ursu1, Jessica L Childs-Disney1, Alicia J Angelbello1, Matthew G Costales1, Samantha M Meyer1, Matthew D Disney1.   

Abstract

Selectivity is a key requirement of high-quality chemical probes and lead medicines; however, methods to quantify and compare the selectivity of small molecules have not been standardized across the field. Herein, we discuss the origins and use of a comprehensive, single value term to quantify selectivity, the Gini coefficient. Case studies presented include compounds that target protein kinases, small molecules that bind RNA structures, and small molecule chimeras that bind to and degrade the target RNA. With an increasing number of transcriptome- and proteome-wide studies, we submit that reporting Gini coefficients as a quantitative descriptor of selectivity should be used broadly.

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Year:  2020        PMID: 32568503      PMCID: PMC7442733          DOI: 10.1021/acschembio.0c00486

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  77 in total

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Journal:  Nature       Date:  2020-06-03       Impact factor: 49.962

9.  GiniClust: detecting rare cell types from single-cell gene expression data with Gini index.

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  2 in total

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Review 2.  Targeting RNA structures with small molecules.

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  2 in total

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