Evidence map›Paper›PMID 34968862›Full record

ArticleComputers in biology and medicine2022

Comparative mutational analysis of SARS-CoV-2 isolates from Pakistan and structural-functional implications using computational modelling and simulation approaches.

Abdullah Shah, Saira Rehmat, Iqra Aslam, Muhmmad Suleman, Farah Batool, Abdul Aziz, Farooq Rashid, Midrarullah, Muhmmad Asif Nawaz, Syed Shujait Ali and 3 more

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Quasi-species prevalence and clinical impact of evolving SARS-CoV-2 lineages in European COVID-19 cohorts, January 2020 to February 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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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

13 authors at 8 institutions in 2 countries.

Abdullah ShahDepartment of Biotechnology, Shaheed Benazir Bhutto University Sheringal, Dir (U), Pakistan.
Saira RehmatSharif Medical and Dental College, Lahore, Pakistan. Electronic address: Tamimrai18@gmail.com.
Iqra AslamNawaz Shareef Medical College, Gujrat, Pakistan. Electronic address: Habibrai36@gmail.com.
Muhmmad SulemanCentre for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan.
Farah BatoolInstitute of Pharmacy and Allied Health Sciences, Lahore College for Women University, Jail Road, Lahore, Pakistan. Electronic address: fblcwu@gmail.com.
Abdul AzizMolecular Biology Research Center, School of Life Sciences, Central South University, Changsha, China.
Farooq RashidDermatology Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.
MidrarullahDepartment of Biotechnology, Shaheed Benazir Bhutto University Sheringal, Dir (U), Pakistan.
Muhmmad Asif NawazDepartment of Biotechnology, Shaheed Benazir Bhutto University Sheringal, Dir (U), Pakistan.
Syed Shujait AliCentre for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad JunaidDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China. Electronic address: abbaskhan@sjtu.edu.cn.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China; State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Laboratory of Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200030, PR China; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen, Guangdong, 518055, PR China. Electronic address: dqwei@sjtu.edu.cn.
Shaheed Benazir Bhutto University · PKShanghai Jiao Tong University · CNUniversity of Swat · PKCentral South University · CNCMH Lahore Medical College and Institute of Dentistry · PKLahore College for Women University · PKMuhammad Nawaz Shareef University of Agriculture · PKSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, an RNA virus, has been prone to high mutations since its first emergence in Wuhan, China, and throughout its spread. Its genome has been sequenced continuously by many countries, including Pakistan, but the results vary. Understanding its genomic patterns and connecting them with phenotypic features will help in devising therapeutic strategies. Thus, in this study, we explored the mutation landscape of 250 Pakistani isolates of SARS-CoV-2 genomes to check the genome diversity and examine the impact of these mutations on protein stability and viral pathogenesis in comparison with a reference sequence (Wuhan NC 045512.2). Our results revealed that structural proteins mainly exhibit more mutations than others in the Pakistani isolates; in particular, the nucleocapsid protein is highly mutated. In comparison, the spike protein is the most mutated protein globally. Furthermore, nsp12 was found to be the most mutated NSP in the Pakistani isolates and worldwide. Regarding accessory proteins, ORF3A is the most mutated in the Pakistani isolates, whereas ORF8 is highly mutated in world isolates. These mutations decrease the structural stability of their proteins and alter different biological pathways. Molecular docking, the dissociation constant (K

Indexed as

COVID-19SARS-CoV-2Genome, ViralHumansMolecular Docking SimulationMutationPakistanSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2COVID-19MutationPhosphorylation serine/threonine kinasesSARS-CoV-2

Identifiers

PMID34968862
PMCPMC8709794
OpenAlexW4200116634

What OpenQuestion holds

Textmetadata
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.