Evidence map›Paper›PMID 39292752›Full record

ArticleJournal of chemical information and modeling2024

Combining Data-Driven and Structure-Based Approaches in Designing Dual PARP1-BRD4 Inhibitors for Breast Cancer Treatment.

Bo Feng, Hui Yu, Xu Dong, Alejandro Díaz-Holguín, Albert A Antolin, Huabin Hu

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

6 authors.

Bo FengDepartment of Pharmacy, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, P. R. China.ORCID 0000-0002-5562-3358
Hui YuInformation School, University of Sheffield, 211 Portobello, Sheffield, S1 4DP, U.K.
Xu DongDepartment of Pharmacy, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, P. R. China.
Alejandro Díaz-HolguínScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24, Uppsala, Sweden.
Albert A AntolinCentre for Cancer Drug Discovery, Division of Cancer Therapeutics, The Institute of Cancer Research, London SW7 3RP, U.K.
Huabin HuScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24, Uppsala, Sweden.ORCID 0009-0001-6851-6340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase 1 (PARP1) inhibitors have revolutionized the treatment of many cancers with DNA-repairing deficiencies via synthetic lethality. Advocated by the polypharmacology concept, recent evidence discovered that a significantly synergistic effect in increasing the death of cancer cells was observed by simultaneously perturbating the enzymatic activities of bromodomain-containing protein 4 (BRD4) and PARP1. Here, we developed a novel cheminformatics approach combined with a structure-based method aiming to facilitate the design of dual PARP1-BRD4 inhibitors. Instead of linking pharmacophores, the developed approach first identified merged pharmacophores (a pool of amide-containing ring systems), from which phenanthridin-6(5

Indexed as

Breast NeoplasmsCell Cycle ProteinsDrug DesignPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsTranscription FactorsAntineoplastic AgentsBromodomain Containing ProteinsCell Line, TumorCell ProliferationFemaleHumansMolecular Docking SimulationNuclear ProteinsAntineoplastic AgentsBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsNuclear ProteinsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsTranscription Factors

Identifiers

PMID39292752
PMCPMC11480993

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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.