Evidence map›Paper›PMID 32568503›Full record

ArticleACS chemical biology2020

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

Andrei Ursu, Jessica L Childs-Disney, Alicia J Angelbello, Matthew G Costales, Samantha M Meyer, Matthew D Disney

Abstract read
In one paragraph

Article in ACS chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Machine Learning Informs RNA-Binding Chemical Space.Angewandte Chemie (International ed. in English) · 2023
    Article
  14. An Introduction to Chemogenomics.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  15. Targeting RNA structures with small molecules.Nature reviews. Drug discovery · 2022
    Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrei UrsuDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Jessica L Childs-DisneyDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Alicia J AngelbelloDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Matthew G CostalesDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Samantha M MeyerDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Matthew D DisneyDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.ORCID 0000-0001-8486-1796

Funding

Design of Precision Small Molecules Targeting RNA Repeating Transcripts to Manipulate and Study Disease BiologyR35NS116846 · NINDS · UNIVERSITY OF FLORIDA · PI Matthew D Disney · 2020 to 2026
$9.4M
Using a disease-affected cell to synthesize its own drugDP1NS096898 · NINDS · SCRIPPS FLORIDA · PI DISNEY, MATTHEW D · 2015 to 2019
$5.0M
Targeted degradation of RNAs by using small moleculesR01CA249180 · NCI · UNIVERSITY OF FLORIDA · PI Matthew D Disney · 2020 to 2026
$4.8M
Sequence-based Design of Small Molecules Targeting RNAR01GM097455 · NIGMS · SCRIPPS FLORIDA · PI DISNEY, MATTHEW D · 2012 to 2019
$4.6M
Chemical approaches for precise recognition of a toxic RNA repeatF31NS110269 · NINDS · SCRIPPS FLORIDA · PI ANGELBELLO, ALICIA JEANNINE · 2018 to 2020
$64k
NCI NIH HHS R01 CA249180NIGMS NIH HHS R01 GM097455NINDS NIH HHS DP1 NS096898NINDS NIH HHS F31 NS110269NINDS NIH HHS R35 NS116846
6 · The paper itself

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.

Indexed as

Models, ChemicalMolecular ProbesRNASmall Molecule LibrariesMolecular ProbesRNASmall Molecule Libraries

Identifiers

PMID32568503
PMCPMC7442733

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.