Evidence map›Paper›PMID 34036109›Full record

ArticleJournal of immunology research2021

Epitope-Based Peptide Vaccine Design against Fructose Bisphosphate Aldolase of

Lina Mohamed Elamin Elhasan, Mohamed B Hassan, Reham M Elhassan, Fatima A Abdelrhman, Essam A Salih, Asma Ibrahim H, Amna A Mohamed, Hozaifa S Osman, Marwa Saad M Khalil, Athar A Alsafi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Inferring Therapeutic Targets inLife (Basel, Switzerland) · 2022
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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 at 7 institutions in 1 country.

Lina Mohamed Elamin ElhasanFaculty of Science and Technology, Department of Biotechnology, Omdurman Islamic University, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-4127-9816
Mohamed B HassanFaculty of Medicine and Health Science, Omdurman Islamic University, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-2450-3476
Reham M ElhassanDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Sudan International University, Khartoum, Sudan.ORCID https://orcid.org/0000-0003-3893-8662
Fatima A AbdelrhmanDepartment of Biotechnology, Africa City of Technology, Khartoum, Sudan.ORCID https://orcid.org/0000-0003-3631-6341
Essam A SalihBiology and Technology Department, College of Applied and Industrial Sciences, University of Bahri, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-5486-6112
Asma Ibrahim HFaculty of Pharmacy, National Ribat University, Khartoum, Sudan.ORCID https://orcid.org/0000-0001-5180-7208
Amna A MohamedAl-Neelain Medical Research Center, Al-Neelain University, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-3268-3964
Hozaifa S OsmanFaculty of Medicine and Health Science, Omdurman Islamic University, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-0618-4096
Marwa Saad M KhalilAl-Neelain Medical Research Center, Al-Neelain University, Khartoum, Sudan.ORCID https://orcid.org/0000-0003-1553-901X
Athar A AlsafiFaculty of Science and Technology, Department of Biotechnology, Omdurman Islamic University, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-0514-8157
Abeer Babiker IdrisDepartment of Medical Microbiology, Faculty of Medical Laboratory Sciences, University of Khartoum, Khartoum, Sudan.ORCID https://orcid.org/0000-0001-6436-5963
Mohamed A HassanDepartment of Biotechnology, Africa City of Technology, Khartoum, Sudan.
Omdurman Islamic University · SDUniversity of Garden City · SDAl-Neelain University · SDNational Ribat University · SDSudan International University · SDUniversity of Bahri · SDUniversity of Khartoum · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

aimUsing immunoinformatics approach to predict the most conserved and immunogenic B- and T-cell epitopes from the fructose bisphosphate aldolase (Fba1) protein of

resultThe promising B-cell epitopes were AYFKEH, VDKESLYTK, and HVDKESLYTK, while the promising peptides which have high affinity to MHC I binding were AVHEALAPI, KYFKRMAAM, QTSNGGAAY, RMAAMNQWL, and YFKEHGEPL. Two peptides, LFSSHMLDL and YIRSIAPAY, were noted to have the highest affinity to MHC class II that interact with 9 alleles. The molecular docking revealed that the epitopes QTSNGGAAY and LFSSHMLDL have the lowest binding energy to MHC molecules.

conclusionThe epitope-based vaccines predicted by using immunoinformatics tools have remarkable advantages over the conventional vaccines in that they are more specific, less time consuming, safe, less allergic, and more antigenic. Further in vivo and in vitro experiments are needed to prove the effectiveness of the best candidate's epitopes (QTSNGGAAY and LFSSHMLDL). To the best of our knowledge, this is the first study that has predicted B- and T-cell epitopes from the Fba1 protein by using in silico tools in order to design an effective epitope-based vaccine against

Indexed as

Amino Acid SequenceCandida glabrataCandidiasisComputational BiologyConserved SequenceDrug DesignEpitope MappingEpitopes, B-LymphocyteEpitopes, T-LymphocyteFructose-Bisphosphate AldolaseFungal ProteinsFungal VaccinesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansImmunogenicity, VaccineEpitopes, B-LymphocyteEpitopes, T-LymphocyteFructose-Bisphosphate AldolaseFungal ProteinsFungal VaccinesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIVaccines, Subunit

Identifiers

PMID34036109
PMCPMC8116159
OpenAlexW3157964268

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.