Evidence map›Paper›PMID 39596458›Full record

ArticleInternational journal of molecular sciences2024

Rabbit and Human Angiotensin-Converting Enzyme-2: Structure and Electric Properties.

Svetlana H Hristova, Trifon T Popov, Alexandar M Zhivkov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Svetlana H HristovaDepartment of Medical Physics and Biophysics, Medical Faculty, Medical University-Sofia, Zdrave Str. 2, 1431 Sofia, Bulgaria.ORCID 0000-0002-7026-8446
Trifon T PopovMedical Faculty, Medical University-Sofia, Zdrave Str. 2, 1431 Sofia, Bulgaria.ORCID 0009-0001-1818-275X
Alexandar M ZhivkovScientific Research Center, "St. Kliment Ohridski" Sofia University, 8 Dragan Tsankov Blvd., 1164 Sofia, Bulgaria.ORCID 0000-0002-9635-633X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The angiotensin-converting enzyme-2 (ACE2) is a transmembrane glycoprotein, consisting of two segments: a large carboxypeptidase catalytic domain and a small transmembrane collectrin-like segment. This protein plays an essential role in blood pressure regulation, transforming the peptides angiotensin-I and angiotensin-II (vasoconstrictors) into angiotensin-1-9 and angiotensin-1-7 (vasodilators). During the COVID-19 pandemic, ACE2 became best known as the receptor of the S-protein of SARS-CoV-2 coronavirus. The purpose of the following research is to reconstruct the 3D structure of the catalytic domain of the rabbit enzyme rACE2 using its primary amino acid sequence, and then to compare it with the human analog hACE2. For this purpose, we have calculated the electric properties and thermodynamic stability of the two protein globules employing computer programs for protein electrostatics. The analysis of the amino acid content and sequence demonstrates an 85% identity between the two polypeptide chains. The 3D alignment of the catalytic domains of the two enzymes shows coincidence of the α-helix segments, and a small difference in two unstructured segments of the chain. The electric charge of the catalytic domain of rACE2, determined by 70 positively chargeable amino acid residues, 114 negatively chargeable ones, and two positive charges of the Zn

Indexed as

Angiotensin-Converting Enzyme 2Catalytic DomainAmino Acid SequenceAnimalsCOVID-19HumansModels, MolecularPeptidyl-Dipeptidase ARabbitsSARS-CoV-2Static ElectricityThermodynamicsACE2 protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase A3D structural stabilityangiotensin-converting enzyme-2 (ACE2)enzymesfolding energyisoelectric pointmacromolecular modelsprotein electrostaticsproteinssurface electrostatic potential

Identifiers

PMID39596458
PMCPMC11594707

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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.