Evidence map›Paper›PMID 34458816›Full record

ArticleRSC chemical biology2021

Mechanisms of allosteric and mixed mode aromatase inhibitors.

Samson A Souza, Abby Held, Wenjie J Lu, Brendan Drouhard, Bryant Avila, Raul Leyva-Montes, Michelle Hu, Bill R Miller, Ho Leung Ng

Abstract read
In one paragraph

Article in RSC chemical biology, 2021. 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.

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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

9 authors.

Samson A SouzaDepartment of Biochemistry and Molecular Biophysics, Kansas State University Manhattan KS USA hng@ksu.edu.ORCID https://orcid.org/0000-0001-7155-7787
Abby HeldDepartment of Chemistry, Truman State University Kirksville MO USA.
Wenjie J LuDepartment of Chemistry, University of Hawai'i at Mānoa Honolulu HI USA.
Brendan DrouhardDepartment of Biochemistry and Molecular Biophysics, Kansas State University Manhattan KS USA hng@ksu.edu.
Bryant AvilaDepartment of Biochemistry and Molecular Biophysics, Kansas State University Manhattan KS USA hng@ksu.edu.
Raul Leyva-MontesDepartment of Biochemistry and Molecular Biophysics, Kansas State University Manhattan KS USA hng@ksu.edu.
Michelle HuDepartment of Chemistry, University of Hawai'i at Mānoa Honolulu HI USA.ORCID https://orcid.org/0000-0002-6641-9969
Bill R MillerDepartment of Chemistry, Truman State University Kirksville MO USA.
Ho Leung NgDepartment of Biochemistry and Molecular Biophysics, Kansas State University Manhattan KS USA hng@ksu.edu.ORCID https://orcid.org/0000-0002-6415-1938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aromatase (CYP19) catalyzes the last biosynthetic step of estrogens in mammals and is a primary drug target for hormone-related breast cancer. However, treatment with aromatase inhibitors is often associated with adverse effects and drug resistance. In this study, we used virtual screening targeting a predicted cytochrome P450 reductase binding site on aromatase to discover four novel non-steroidal aromatase inhibitors. The inhibitors have potencies comparable to the noncompetitive tamoxifen metabolite, endoxifen. Our two most potent inhibitors, AR11 and AR13, exhibit both mixed-type and competitive-type inhibition. The cytochrome P450 reductase-CYP19 coupling interface likely acts as a transient binding site. Our modeling shows that our inhibitors bind better at different sites near the catalytic site. Our results predict the location of multiple ligand binding sites on aromatase. The combination of modeling and experimental results supports the important role of the reductase binding interface as a low affinity, promiscuous ligand binding site. Our new inhibitors may be useful as alternative chemical scaffolds that may show different adverse effects profiles than current clinically used aromatase inhibitors.

Identifiers

PMID34458816
PMCPMC8341375

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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.