Evidence map›Paper›PMID 42006151›Full record

ArticleHuman mutation2026

Delving Into the Depths of

Muhammad Waleed Iqbal, Muhammad Shahab, Xinxiao Sun, Shahina Akter, Guojun Zheng, Gamal A Shazly, Mohammed Bourhia, Musaab Dauelbait, Qipeng Yuan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human mutation, 2026. 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

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

1 citing paper in PubMed.

  1. Delving Into the Depths ofHuman mutation · 2026
    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

9 authors.

Muhammad Waleed IqbalCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.
Muhammad ShahabCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.ORCID https://orcid.org/0000-0002-4437-0711
Xinxiao SunCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.ORCID https://orcid.org/0000-0001-5590-6473
Shahina AkterGenomic Research Laboratory Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.
Guojun ZhengCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.
Gamal A ShazlyDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia, ksu.edu.sa.ORCID https://orcid.org/0000-0002-1291-2088
Mohammed BourhiaLaboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco, uiz.ac.ma.ORCID https://orcid.org/0000-0003-3707-8461
Musaab DauelbaitDepartment of Scientific Translation, Faculty of Translation, University of Bahri, Khartoum, Sudan, bahri.edu.sd.ORCID https://orcid.org/0009-0003-0685-8243
Qipeng YuanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.ORCID https://orcid.org/0000-0002-7899-1487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Nonsynonymous single nucleotide polymorphisms (nsSNPs) in angiotensin Type II receptor ( Methods: A comprehensive computational pipeline was employed to evaluate deleterious nsSNPs using multiple prediction algorithms, including SIFT, PolyPhen-2, CADD, REVEL, Mutation Assessor, MetaLR, I-Mutant, MutPred, and Phylo3D. Molecular docking and molecular dynamic simulation strategies were further utilized to thoroughly validate these nsSNPs. Additionally, gene-gene interaction networks were constructed to explore Results: Our findings indicated that four nsSNPs, including rs200599388, rs1556673810, rs3729979, and rs1556673736, potentially have the most deleterious effect on the Conclusion: These findings will form the basis to design precision medicines for cardiovascular diseases in the future and welcome further preclinical and clinical investigations.

Indexed as

Cardiovascular DiseasesGenetic Predisposition to DiseasePolymorphism, Single NucleotideReceptor, Angiotensin, Type 2Computational BiologyComputer SimulationGene Regulatory NetworksHumansMolecular Docking SimulationMolecular Dynamics SimulationReceptor, Angiotensin, Type 2AGTR2cardiovascular diseasesin silico analysisMD simulationnsSNPs

Identifiers

PMID42006151
PMCPMC13084195

What OpenQuestion holds

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LicenceCC BY
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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.