Evidence map›Paper›PMID 39770128›Full record

ArticleMolecules (Basel, Switzerland)2024

In Silico Design of Dual Estrogen Receptor and Hsp90 Inhibitors for ER-Positive Breast Cancer Through a Mixed Ligand/Structure-Based Approach.

Gabriele La Monica, Federica Alamia, Alessia Bono, Francesco Mingoia, Annamaria Martorana, Antonino Lauria

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Gabriele La MonicaDipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.ORCID 0000-0001-6510-1943
Federica AlamiaDipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.ORCID 0009-0004-8281-3511
Alessia BonoDipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.ORCID 0000-0002-9283-4920
Francesco MingoiaIstituto per lo Studio dei Materiali Nanostrutturati, Consiglio Nazionale delle Ricerche (CNR), 90128 Palermo, Italy.ORCID 0000-0002-9106-4602
Annamaria MartoranaDipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.ORCID 0000-0002-9560-1882
Antonino LauriaDipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.ORCID 0000-0002-5116-6815

Funding

SAMOTHRACE" (MUR, PNRR-M4C2, ECS_00000022), SPOKE 3-Università degli Studi di Palermo S2-COMMs-Micro and Nanotechnologies for Smart & Sustainable Communities MUR, PNRR-M4C2, ECS_00000022
6 · The paper itself

Abstract

Breast cancer remains one of the most prevalent and lethal malignancies in women, particularly the estrogen receptor-positive (ER+) subtype, which accounts for approximately 70% of cases. Traditional endocrine therapies, including aromatase inhibitors, selective estrogen receptor degraders/antagonists (SERDs), and selective estrogen receptor modulators (SERMs), have improved outcomes for metastatic ER+ breast cancer. However, resistance to these agents presents a significant challenge. This study explores a novel therapeutic strategy involving the simultaneous inhibition of the estrogen receptor (ER) and the chaperone protein Hsp90, which is crucial for the stabilization of various oncoproteins, including ER itself. We employed a hybrid, hierarchical in silico virtual screening approach to identify new dual ER/Hsp90 inhibitors, utilizing the Biotarget Predictor Tool (BPT) for efficient multitarget screening of a large compound library. Subsequent structure-based studies, including molecular docking analyses, were conducted to further evaluate the interaction of the top candidates with both ER and Hsp90. Supporting this, molecular dynamics simulations demonstrate the high stability of the multitarget inhibitor

Indexed as

Breast NeoplasmsDrug DesignHSP90 Heat-Shock ProteinsMolecular Docking SimulationReceptors, EstrogenAntineoplastic AgentsComputer SimulationFemaleHumansLigandsMolecular Dynamics SimulationStructure-Activity RelationshipAntineoplastic AgentsHSP90 Heat-Shock ProteinsLigandsReceptors, Estrogenbreast cancerDRUDITendocrine resistanceestrogen receptor (ER)Hsp90 inhibitionmultitarget drug designNCI database

Identifiers

PMID39770128
PMCPMC11676166

What OpenQuestion holds

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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.