Evidence map›Paper›PMID 35125571›Full record

ArticleJournal of molecular liquids2022

Designing AbhiSCoVac - A single potential vaccine for all 'corona culprits': Immunoinformatics and immune simulation approaches.

Abhigyan Choudhury, Parth Sarthi Sen Gupta, Saroj Kumar Panda, Malay Kumar Rana, Suprabhat Mukherjee

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular liquids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 54 citations in OpenAlex.

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  18. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
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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

5 authors at 2 institutions in 1 country.

Abhigyan ChoudhuryIntegrative Biochemistry & Immunology Laboratory, Department of Animal Science, Kazi Nazrul University, Asansol 713 340, West Bengal, India.
Parth Sarthi Sen GuptaDepartment of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha, India.
Saroj Kumar PandaDepartment of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha, India.
Malay Kumar RanaDepartment of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha, India.
Suprabhat MukherjeeIntegrative Biochemistry & Immunology Laboratory, Department of Animal Science, Kazi Nazrul University, Asansol 713 340, West Bengal, India.
Indian Institute of Science Education and Research Berhampur · INKazi Nazrul University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronaviridae family has generated highly virulent viruses, including the ones responsible for three major pandemics in last two decades with SARS in 2002, MERS outbreak in 2012 and the current nCOVID19 crisis that has turned the world breadthless. Future outbreaks are also a plausible threat to mankind. As computational biologists, we are committed to address the need for a universal vaccine that can deter all these pathogenic viruses in a single shot. Notably, the spike proteins present in all these viruses function as credible PAMPs that are majorly sensed by human TLR4 receptors. Our study aims to recognize the amino acid sequence(s) of the viral spike proteins that are precisely responsible for interaction with human TLR4 and to screen the immunogenic epitopes present in them to develop a multi-epitope multi-target chimeric vaccine against the coronaviruses. Molecular design of the constructed vaccine peptide is qualified in silico; additionally, molecular docking and molecular dynamics simulation studies collectively reveal strong and stable interactions of the vaccine construct with TLRs and MHC receptors.

Indexed as

ChimericCoronavirusesCOVID-19hCoV-229EhCoV-HKU1hCoV-OC43MERS-CoVSARS-CoVSARS-CoV-2TLR4Universal-vaccine

Identifiers

PMID35125571
PMCPMC8801591
OpenAlexW4210282471

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.