Evidence map›Paper›PMID 24997602›Full record

ArticleNature chemical biology2014

A high-throughput, multiplexed assay for superfamily-wide profiling of enzyme activity.

Daniel A Bachovchin, Luke W Koblan, Wengen Wu, Yuxin Liu, Youhua Li, Peng Zhao, Iwona Woznica, Ying Shu, Jack H Lai, Sarah E Poplawski and 7 more

Abstract read
In one paragraph

Article in Nature chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  9. Review
  10. Identification of Sclareol As a Natural Neuroprotective CaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. The NLRP1 and CARD8 inflammasomes.Immunological reviews · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Daniel A BachovchinThe Eli and Edythe L. Broad Institute, Cambridge, Massachusetts, USA.
Luke W KoblanThe Eli and Edythe L. Broad Institute, Cambridge, Massachusetts, USA.
Wengen WuDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Yuxin LiuDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Youhua LiDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Peng ZhaoDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Iwona WoznicaDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Ying ShuDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Jack H LaiDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Sarah E PoplawskiDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Christopher P KiritsyArisaph Pharmaceuticals, Boston, Massachusetts, USA.
Sarah E HealeyDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Matthew DiMareDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
David G SanfordDepartment of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.
Robert S MunfordLaboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
William W Bachovchin1] Department of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA. [2] Arisaph Pharmaceuticals, Boston, Massachusetts, USA.
Todd R Golub1] The Eli and Edythe L. Broad Institute, Cambridge, Massachusetts, USA. [2] Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA. [4] Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.

Funding

Signatures of Kinase Activation in Cancer (MIT consortium)U54CA112962 · NCI · DANA-FARBER CANCER INSTITUTE · PI GOLUB, TODD R. · 2004 to 2014
$24.2M
Antibacterial Host DefenseZIAAI001138 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MUNFORD, ROBERT · 2011 to 2021
$4.4M
Using FAP to Selectively Target Epithelial CancersR01CA163930 · NCI · TUFTS UNIVERSITY BOSTON · PI BACHOVCHIN, WILLIAM W · 2012 to 2016
$1.7M
Howard Hughes Medical InstituteIntramural NIH HHSNCI NIH HHS R01 CA163930NCI NIH HHS U54 CA112962NCI NIH HHS U54CA112962
6 · The paper itself

Abstract

The selectivity of an enzyme inhibitor is a key determinant of its usefulness as a tool compound or its safety as a drug. Yet selectivity is never assessed comprehensively in the early stages of the drug discovery process, and only rarely in the later stages, because technical limitations prohibit doing otherwise. Here, we report EnPlex, an efficient, high-throughput method for simultaneously assessing inhibitor potency and specificity, and pilot its application to 96 serine hydrolases. EnPlex analysis of widely used serine hydrolase inhibitors revealed numerous previously unrecognized off-target interactions, some of which may help to explain previously confounding adverse effects. In addition, EnPlex screening of a hydrolase-directed library of boronic acid- and nitrile-containing compounds provided structure-activity relationships in both potency and selectivity dimensions from which lead candidates could be more effectively prioritized. Follow-up of a series of dipeptidyl peptidase 4 inhibitors showed that EnPlex indeed predicted efficacy and safety in animal models. These results demonstrate the feasibility and value of high-throughput, superfamily-wide selectivity profiling and suggest that such profiling can be incorporated into the earliest stages of drug discovery.

Indexed as

AnimalsBoronic AcidsCarbamatesCarboxylic Ester HydrolasesDipeptidyl-Peptidase IV InhibitorsDrug DiscoveryEnzyme InhibitorsFemaleGlucose Tolerance TestGlutamatesHigh-Throughput Screening AssaysHumansLipopolysaccharidesMacaca fascicularisMaleMice, Inbred C57BLacyloxyacyl hydrolaseARI-2408Boronic AcidsCarbamatesCarboxylic Ester HydrolasesDipeptidyl-Peptidase IV InhibitorsEnzyme InhibitorsGlutamatesJZL195LipopolysaccharidesN-(3-amino-1-(cyclobutylmethyl)-2,3-dioxopropyl)-3-(2-((((1,1-dimethylethyl)amino)carbonyl)amino)-3,3-dimethyl-1-oxobutyl)-6,6-dimethyl-3-azabicyclo(3.1.0)hexan-2-carboxamideNitrilesOligopeptidesPiperazinesProlineSerine ProteasesSerine Proteinase Inhibitorstelaprevir

Identifiers

PMID24997602
PMCPMC5953424

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Registered trials

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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.