Evidence map›Paper›PMID 39895721›Full record

ArticleACS omega2025

Uncovering the Binding Mechanism of Mutated Omicron Variants via Computational Strategies.

Sajjad Haider, Nadeem Ahmad, Muhammad Shafiq, Ali Raza Siddiqui, Mohammad Nur-E-Alam, Aftab Ahmed, Zaheer Ul-Haq

Abstract read
In one paragraph

Article in ACS omega, 2025. 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. 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.

Sajjad HaiderH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
Nadeem AhmadH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
Muhammad ShafiqH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.ORCID https://orcid.org/0009-0007-8370-9056
Ali Raza SiddiquiH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
Mohammad Nur-E-AlamDepartment of Pharmacognosy, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Kingdom of Saudi Arabia.
Aftab AhmedDepartment of Biomedical and Pharmaceutical Sciences, Chapman University School of Pharmacy, Irvine, California 92618, United States.ORCID https://orcid.org/0000-0001-9708-2150
Zaheer Ul-HaqDr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.ORCID https://orcid.org/0000-0002-8530-8711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, triggered by the SARS-CoV-2 virus, has resulted in nearly 630 million cases and 6.60 million fatalities globally, as of November 2022. SARS-CoV-2, a species of the Coronaviridae family, has a single-stranded positive-sense RNA genome as well as four main structural proteins (S, E, M, and N) required for viral entrance into target cells. The spike protein (S) influences this entry through interactions with human angiotensin-converting enzyme 2 (hACE2) receptor. The World Health Organization (WHO) recognized numerous variants of concern (VOCs) that involve Alpha, Beta, Gamma, Delta, and Omicron, having multiple mutations within the spike protein, altering infection rates and immunity evasion. The Omicron variant, featuring 50 mutations, mainly within the spike protein's receptor-binding domain (RBD), has a higher transmission rate as compared to other variants. This study focused on two recent Omicron subvariants, XBB.1.5 and CH.1.1, which are known for their high affinity for the human ACE2 receptor. Utilizing an in silico strategy, a total of 1.65 μs molecular dynamics (MD) simulations were performed to assess the stability as well as binding details of these subvariants along with the wild-type Omicron variants. The comprehensive structural stability of the spike protein-hACE2 complexes was evaluated by using numerous parameters including root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (

Identifiers

PMID39895721
PMCPMC11780447

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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.