Evidence map›Paper›PMID 37166683›Full record

ArticleJournal, genetic engineering & biotechnology2023

An immunoinformatics approach to epitope-based vaccine design against PspA in Streptococcus pneumoniae.

Lincon Mazumder, Muhammad Shahab, Saidul Islam, Mahmuda Begum, Jonas Ivan Nobre Oliveira, Shamima Begum, Shahina Akter

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Lincon MazumderDepartment of Microbiology, Jagannath University, Dhaka, 1100, Bangladesh.
Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Saidul IslamDepartment of Microbiology, Jagannath University, Dhaka, 1100, Bangladesh.
Mahmuda BegumBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, 1205, Bangladesh.
Jonas Ivan Nobre OliveiraDepartamento de Biof ́ısica E Farmacologia, Universidade Federal Do Rio Grande doNorte, Natal, RN, 59072-970, Brazil.
Shamima BegumDepartment of Microbiology, Jagannath University, Dhaka, 1100, Bangladesh.
Shahina AkterBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, 1205, Bangladesh. shupty2010@gmail.com.ORCID http://orcid.org/0000-0001-7776-6686
Jagannath University · BDBangladesh Council of Scientific and Industrial Research · BDBeijing University of Chemical Technology · CNUniversidade Federal do Rio Grande · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStreptococcus pneumoniae (SPN) is the agent responsible for causing respiratory diseases, including pneumonia, which causes severe health hazards and child deaths globally. Antibiotics are used to treat SPN as a first-line treatment, but nowadays, SPN is showing resistance to several antibiotics. A vaccine can overcome this global problem by preventing this deadly pathogen. The conventional methods of wet-laboratory vaccine design and development are an intense, lengthy, and costly procedure. In contrast, epitope-based in silico vaccine designing can save time, money, and energy. In this study, pneumococcal surface protein A (PspA), one of the major virulence factors of SPN, is used to design a multi-epitope vaccine.

methodsFor designing the vaccine, the sequence of PspA was retrieved, and then, phylogenetic analysis was performed. Several CTL epitopes, HTL epitopes, and LBL epitopes of PspA were all predicted by using several bioinformatics tools. After checking the antigenicity, allergenicity, and toxicity scores, the best epitopes were selected for the vaccine construction, and then, physicochemical and immunological properties were analyzed. Subsequently, vaccine 3D structure prediction, refinement, and validation were performed. Molecular docking, molecular dynamic simulation, and immune simulation were performed to ensure the binding between HLA and TLR4. Finally, codon adaptation and in silico cloning were performed to transfer into a suitable vector.

resultsThe constructed multi-epitope vaccine showed a strong binding affinity with the receptor molecule TLR4. Analysis of molecular dynamic simulation, C-immune simulation, codon adaptation, and in silico cloning validated that our designed vaccine is a suitable candidate against SPN.

conclusionThe in silico analysis has proven the vaccine as an alternative medication to combat against S. pneumoniae. The designated vaccine can be further tested in the wet lab, and a novel vaccine can be developed.

Indexed as

CTLHTLLBLpneumococcal surface protein A (PspA)SPNTLR4

Identifiers

PMID37166683
PMCPMC10173237
OpenAlexW4376132864

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.