Evidence map›Paper›PMID 39674651›Full record

ArticleJournal, genetic engineering & biotechnology2024

Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2.

Syed Luqman Ali, Awais Ali, Waseef Ullah, Abdulaziz Alamri, Elham Mohammed Khatrawi, Gulzira Sagimova, Aigul Almabayeva, Farida Rakhimzhanova, Gulsum Askarova, Fatima Suleimenova and 2 more

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

12 authors.

Syed Luqman AliDepartment of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Paksitan. Electronic address: syedluqmanali5@gmail.com.
Awais AliDepartment of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Paksitan. Electronic address: awaisali@awkum.edu.pk.
Waseef UllahDepartment of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Paksitan.
Abdulaziz AlamriDepartment of Biochemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. Electronic address: abalamri@ksu.edu.sa.
Elham Mohammed KhatrawiDepartment of Medical Microbiology and Immunology, Taibah University, College of Medicine, Madinah 42353, Saudi Arabia. Electronic address: ekhatrawi@taibahu.edu.sa.
Gulzira SagimovaDepartment of Human Anatomy, Astana Medical University, Astana 010000, Kazakhstan. Electronic address: sagimova.g@amu.kz.
Aigul AlmabayevaDepartment of Human Anatomy, Astana Medical University, Astana 010000, Kazakhstan. Electronic address: almabaeva.a@amu.kz.
Farida RakhimzhanovaDepartment of Microbiology, Semey Medical University, Semey, Kazakhstan. Electronic address: farida.rakhimzhanova@smu.edu.kz.
Gulsum AskarovaDepartment of Clinical Disciplines, Al Farabi Kazakh National University, Almaty 050000, Kazakhstan. Electronic address: gkaskarova@mail.ru.
Fatima SuleimenovaDepartment of Human Anatomy, Astana Medical University, Astana 010000, Kazakhstan. Electronic address: suleymenova.f@amu.kz.
Nabras Al-MahramiBioinformatician, National Genetic Center, Royal Hospital, Ministry of Health, Muscat, Oman.
Prasanta Kumar ParidaDepartment of KIIT School of Rural Management, KIIT University, Bhubaneswar 751024, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus that causes serious acute respiratory syndrome. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still a major problem in public health and biomedicine. Even if there is no cure for it, the infection is still progressing naturally, and the only time that optimal treatment choices, such as doxycycline, work is at the beginning of the infection. Our project is structured into two critical parts: the first focuses on the identification of potential drug targets, and the second on vaccine design, both aimed at exploring new ways to treat the disease. Initially, cytoplasmic proteins identified through subtractive analysis underwent comprehensive evaluation for potential drug targeting, focusing on metabolic pathways, homology prediction, drugability assessment, essentiality, and protein-protein interactions. Subsequently, surface proteins underwent rigorous assessment for allergenicity, antigenicity, physiochemical attributes, conserved regions, protein interactions, and identification of B and T cell epitopes. Molecular docking and immunological simulation analyses were then employed to develop and characterize a multi-epitope vaccine, integrating findings from the aforementioned evaluations. Findings from the study point to six proteins as potential critical therapeutic targets for SARS-CoV-2, each of which is involved in a distinct metabolic process. The reverse vaccinology analysis suggested that the following proteins could be used as vaccine candidates: sp|P05106, sp|O00187, sp|Q9NYK1, sp|P05556, sp|P09958, and sp|Q9HC29. Four multi-epitope vaccine named as SARS-COV-2-, C1, C2, C3, and C4 was designed by utilizing different adjuvants and eighteen B cell overlapped epitopes which were predicted from top ranked protiens. Based on immune simulation study, the vaccine exhibited adequate immune-reactivity and favorable encounters with toll-type receptors (TLR4, TLR8, HLA, etc ACE), Among them the SARS-COV-2-C2 showed best binding affinity of which all receptors. Findings from this study could be a game-changer in the quest to develop a vaccine and medication that effectively combat SARS-CoV-2. It is necessary to do additional experimental analyses, nevertheless.

Indexed as

Drug designImmune simulationMolecular dockingsmRNA vaccineSARS-CoV-2

Identifiers

PMID39674651
PMCPMC11615475

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.