Evidence map›Paper›PMID 36016080›Full record

ArticleVaccines2022

Design of Multi-Epitope Vaccine for

Maha Yousaf, Asad Ullah, Nida Sarosh, Sumra Wajid Abbasi, Saba Ismail, Shabana Bibi, Mohammad Mehedi Hasan, Ghadeer M Albadrani, Nehal Ahmed Talaat Nouh, Jawaher A Abdulhakim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Towards precision epitopes based vaccine againstBiochemistry and biophysics reports · 2025
    Article
  6. Article
  7. Article
  8. Design of an Epitope-Based Vaccine Against MERS-CoV.Medicina (Kaunas, Lithuania) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors at 10 institutions in 5 countries.

Maha YousafDepartment of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.ORCID 0000-0001-6313-2535
Asad UllahDepartment of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan.
Nida SaroshDepartment of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Sumra Wajid AbbasiDepartment of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, Pakistan.ORCID 0000-0002-4998-937X
Saba IsmailDepartment of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, Pakistan.ORCID 0000-0002-8793-2972
Shabana BibiDepartment of Biosciences, Shifa Tameer-e-Millat University, Islamabad 44000, Pakistan.ORCID 0000-0001-9585-9042
Mohammad Mehedi HasanDepartment of Biochemistry and Molecular Biology, Faculty of Life Science, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.ORCID 0000-0002-3871-889X
Ghadeer M AlbadraniDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0001-5657-4650
Nehal Ahmed Talaat NouhDepartment of Microbiology, Medicine Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia.
Jawaher A AbdulhakimMedical Laboratory Department, College of Applied Medical Sciences, Taibah University, Yanbu 46522, Saudi Arabia.
Mohamed M Abdel-DaimDepartment of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia.ORCID 0000-0002-4341-2713
Talha Bin EmranDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh.ORCID 0000-0003-3188-2272
COMSATS University Islamabad · PKNational University of Medical Sciences · PKAbasyn University · PKDaffodil International University · BDMansoura University Hospital · EGMawlana Bhashani Science and Technology University · BDPrincess Nourah bint Abdulrahman University · SAShifa Tameer-e-Millat University · PKSuez Canal University · EGTaibah University · SA

Funding

This research was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R30), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. PNURSP2022R30
6 · The paper itself

Abstract

Staphylococcus saprophyticus is a Gram-positive coccus responsible for the occurrence of cystitis in sexually active, young females. While effective antibiotics against this organism exist, resistant strains are on the rise. Therefore, prevention via vaccines appears to be a viable solution to address this problem. In comparison to traditional techniques of vaccine design, computationally aided vaccine development demonstrates marked specificity, efficiency, stability, and safety. In the present study, a novel, multi-epitope vaccine construct was developed against S. saprophyticus by targeting fully sequenced proteomes of its five different strains, which were examined using a pangenome and subtractive proteomic strategy to characterize prospective vaccination targets. The three immunogenic vaccine targets which were utilized to map the probable immune epitopes were verified by annotating the entire proteome. The predicted epitopes were further screened on the basis of antigenicity, allergenicity, water solubility, toxicity, virulence, and binding affinity towards the DRB*0101 allele, resulting in 11 potential epitopes, i.e., DLKKQKEKL, NKDLKKQKE, QDKLKDKSD, NVMDNKDLE, TSGTPDSQA, NANSDGSSS, GSDSSSSNN, DSSSSNNDS, DSSSSDRNN, SSSDRNNGD, and SSDDKSKDS. All these epitopes have the efficacy to cover 99.74% of populations globally. Finally, shortlisted epitopes were joined together with linkers and three different adjuvants to find the most stable and immunogenic vaccine construct. The top-ranked vaccine construct was further scrutinized on the basis of its physicochemical characterization and immunological profile. The non-allergenic and antigenic features of modeled vaccine constructs were initially validated and then subjected to docking with immune receptor major histocompatibility complex I and II (MHC-I and II), resulting in strong contact. In silico cloning validations yielded a codon adaptation index (CAI) value of 1 and an ideal percentage of GC contents (46.717%), indicating a putative expression of the vaccine in E. coli. Furthermore, immune simulation demonstrated that, after injecting the proposed MEVC, powerful antibodies were produced, resulting in the sharpest peaks of IgM + IgG formation (>11,500) within 5 to 15 days. Experimental testing against S. saprophyticus can evaluate the safety and efficacy of these prophylactic vaccination designs.

Indexed as

dockingimmuno-informaticsMD simulationmulti-epitope peptidepan-genome

Identifiers

PMID36016080
PMCPMC9414393
OpenAlexW4288723617

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.