Evidence map›Paper›PMID 39296803›Full record

ArticleBioImpacts : BI2024

Computational studies and structural insights for discovery of potential natural aromatase modulators for hormone-dependent breast cancer.

Snehal Aditya Arvindekar, Sanket Rathod, Prafulla Balkrishna Choudhari, Pradnya Kiran Mane, Aditya Umesh Arvindekar, Suraj Narayan Mali, Bapu Thorat

Abstract read
In one paragraph

Article in BioImpacts : BI, 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. Article
  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

7 authors.

Snehal Aditya ArvindekarDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, ‎‎(M.S.), India‎.ORCID https://orcid.org/0000-0001-6368-3038
Sanket RathodDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, ‎‎(M.S.), India‎.ORCID https://orcid.org/0000-0002-8037-5974
Prafulla Balkrishna ChoudhariDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, ‎‎(M.S.), India‎.ORCID https://orcid.org/0000-0002-9137-3982
Pradnya Kiran ManeDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, ‎‎(M.S.), India‎.ORCID https://orcid.org/0000-0003-2347-1713
Aditya Umesh ArvindekarY. D. Mane Institute of Pharmacy, Kagal, (M.S.), India ‎.ORCID https://orcid.org/0000-0001-8358-2613
Suraj Narayan MaliDepartment of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Mesra, ‎Ranchi, India.ORCID https://orcid.org/0000-0003-1995-136X
Bapu ThoratDepartment of Chemistry, Government College of Arts and Science, Aurangabad (M.S.), India ‎.ORCID https://orcid.org/0000-0003-4408-1319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aromatase enzyme plays an important role in the progress of hormone-dependent breast cancer, especially in estrogen receptor-positive (ER+) breast cancers. In case of postmenopausal women, the aromatization of androstenedione to estrone in adipose tissue is the most important source of estrogen. Generally 60%-75% of pre- and post-menopausal women suffer from estrogen-dependent breast cancer, and thus suppressing estrogen has been recognized to be a successful therapy. Hence, to limit the stimulation of estrogen, aromatase inhibitors (AIs) are used in the second-line treatment of breast cancer. Methods: The present computational study employed an Results: From molecular docking and analysis of interactions with the amino acid residues of the binding cavity, it was found that the amino acid residues interacting with the non-steroidal inhibitors exhibited π-stacking interactions with PHE134, PHE 221, and TRP 224, while the steroidal drug exemestane lacked π-stacking interactions. QSAR studies were performed using the flavonoid compounds, in order to identify the structural functionalities needed to improve the anti-breast cancer activity. Molecular dynamics of the screened hits confirmed the stability of compounds with the target in the binding cavity. Moreover, pharmacophore modelling presented the pharmacophoric features of the selected scaffolds for aromatase inhibitory activity. Conclusion: The results presented 23 hit compounds that can be developed as anti-breast cancer modulating agents in the near future. Additionally, anthraquinone compounds with minor structural modification can also serve to be potential aromatase inhibitors. The

Indexed as

Aromatase inhibitorsBreast cancerIn silico studiesNatural productsQSAR

Identifiers

PMID39296803
PMCPMC11406427

What Socratic holds

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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 Socratic graph.