Evidence map›Paper›PMID 38671223›Full record

ArticleNature chemical biology2024

Chemical screening by time-resolved X-ray scattering to discover allosteric probes.

Chris A Brosey, Todd M Link, Runze Shen, Davide Moiani, Kathryn Burnett, Greg L Hura, Darin E Jones, John A Tainer

Open access · hybridAbstract read
In one paragraph

Article in Nature chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Chris A BroseyDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cabrosey@mdanderson.org.ORCID 0000-0002-0990-0262
Todd M LinkDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Runze ShenDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Davide MoianiDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-0715-8508
Kathryn BurnettMBIB Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Greg L HuraMBIB Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Darin E JonesDepartment of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0003-1581-3453
John A TainerDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. jtainer@mdanderson.org.ORCID 0000-0003-1659-2429
The University of Texas MD Anderson Cancer Center · USLawrence Berkeley National Laboratory · USUniversity of Arkansas for Medical Sciences · US

Funding

Transcription-Coupled & Replication-Associated Excision RepairP01CA092584 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI John A. Tainer · 2001 to 2026
$89.6M
X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Vivian Stojanoff · 2019 to 2026
$38.6M
User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Mesoscale and Nanoscale Technologies Integrated by Structures for DNA Repair Complexes (MANTIS-DRC)R35CA220430 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI John A. Tainer · 2018 to 2026
$7.6M
Eliminating Critical Systematic Errors In Structural Biology With Next-Generation SimulationR01GM124149 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLTON, JAMES M · 2017 to 2024
$2.5M
Kaposi's Sarcoma-associated Herpesvirus Mimics of Cellular microRNAsR01CA180813 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GOTTWEIN, EVA HENRIETTE · 2014 to 2018
$1.6M
Cancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RP180813NCI NIH HHS P01 CA092584NCI NIH HHS R35 CA220430NIGMS NIH HHS P30 GM124169NIGMS NIH HHS P30 GM133893NIGMS NIH HHS P41 GM103311NIGMS NIH HHS R01 GM124149U.S. Department of Energy (DOE) DE-AC02-05CH11231U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA92584
6 · The paper itself

Abstract

Drug discovery relies on efficient identification of small-molecule leads and their interactions with macromolecular targets. However, understanding how chemotypes impact mechanistically important conformational states often remains secondary among high-throughput discovery methods. Here, we present a conformational discovery pipeline integrating time-resolved, high-throughput small-angle X-ray scattering (TR-HT-SAXS) and classic fragment screening applied to allosteric states of the mitochondrial import oxidoreductase apoptosis-inducing factor (AIF). By monitoring oxidized and X-ray-reduced AIF states, TR-HT-SAXS leverages structure and kinetics to generate a multidimensional screening dataset that identifies fragment chemotypes allosterically stimulating AIF dimerization. Fragment-induced dimerization rates, quantified with time-resolved SAXS similarity analysis (k

Indexed as

Apoptosis Inducing FactorScattering, Small AngleAllosteric RegulationDrug DiscoveryHumansKineticsModels, MolecularSmall Molecule LibrariesStructure-Activity RelationshipX-Ray DiffractionApoptosis Inducing FactorSmall Molecule Libraries

Identifiers

PMID38671223
PMCPMC11358040
OpenAlexW4395667709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.