Evidence map›Paper›PMID 36040260›Full record

ArticleProtein science : a publication of the Protein Society2022

Depicting the proton relay network in human aromatase: New insights into the role of the alcohol-acid pair.

Chao Zhang, Gianfranco Gilardi, Giovanna Di Nardo

Open access · hybridAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Roles of Ferric Peroxide Anion Intermediates (FeAngewandte Chemie (International ed. in English) · 2024
    Article
  3. 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

3 authors at 1 institution in 2 countries.

Chao ZhangDepartment of Life Sciences and Systems Biology, University of Turin, Turin, 10123, Italy.
Gianfranco GilardiDepartment of Life Sciences and Systems Biology, University of Turin, Turin, 10123, Italy.ORCID 0000-0002-6559-276X
Giovanna Di NardoDepartment of Life Sciences and Systems Biology, University of Turin, Turin, 10123, Italy.ORCID 0000-0002-4169-2635
Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human aromatase is the cytochrome P450 catalyzing the conversion of androgens into estrogens in a three steps reaction essential to maintain steroid hormones balance. Here we report the capture and spectroscopic characterization of its compound I (Cpd I), the main reactive species in cytochromes P450. The typical spectroscopic transitions indicating the formation of Cpd I are detected within 0.8 s when mixing aromatase with meta-chloroperoxybenzoic acid. The estrogen product is obtained from the same reaction mixture, demonstrating the involvement of Cpd I in aromatization reaction. Site-directed mutagenesis is applied to the acid-alcohol pair D309 and T310 and to R192, predicted to be part of the proton relay network. Mutants D309N and R192Q do not lead to Cpd I with an associated loss of activity, confirming that these residues are involved in proton delivery for Cpd I generation. Cpd I is captured for T310A mutant and shows 2.9- and 4.4-fold faster rates of formation and decay, respectively, compared to wild-type (WT). However, its activity is lower than the WT and a larger amount of H

Indexed as

AromataseProtonsCatalysisHumansMutagenesis, Site-DirectedAromataseProtonsalcohol-acid pairaromatasecompound Icytochromes P450proton delivery

Identifiers

PMID36040260
PMCPMC9366932
OpenAlexW4292769306

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.