Evidence map›Paper›PMID 38231068›Full record

ArticleCurrent computer-aided drug design2025

Computational Study of Antimicrobial Peptides for Promising Therapeutic Applications against Methicillin-resistant

Priyanka Sinoliya, Pooran Singh Solanki, Ravi Ranjan Kumar Niraj, Vinay Sharma

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Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Priyanka SinoliyaAmity Institute of Biotechnology, Amity University, Rajasthan, Jaipur, India.
Pooran Singh SolankiBirla Institute of Scientific Research, Jaipur, India.
Ravi Ranjan Kumar NirajAmity Institute of Biotechnology, Amity University, Rajasthan, Jaipur, India.
Vinay SharmaAmity Institute of Biotechnology, Amity University, Rajasthan, Jaipur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethicillin-resistant

methodsWith the increasing prevalence of drug-resistant cases, researchers are actively investigating alternative strategies to combat MRSA, including the exploration of peptide therapeutics. This study employed computational methods to prospect for potential Antimicrobial Peptides (AMPs).

resultsA total of One hundred and fifty antimicrobial peptides were explored based on physicochemical properties. The results showed that Clavanin B was the most appropriate candidate. Molecular Docking and Molecular Dynamics Simulation results showed the protein-peptide interaction of the MRSA target proteins, Penicillin Binding Protein 2a and Panton-Valentine Leukocidin Toxin, with the Antimicrobial Peptide Clavanin B.

conclusionCurrently, the antimicrobial peptide database highlights Clavanin B's role as an anti-HIV peptide. Moreover, this investigation proposes Clavanin B as a viable repurposed drug for treating MRSA, underscoring its potential deployment in the management of MRSA infections.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesMethicillin-Resistant Staphylococcus aureusBacterial ProteinsHumansMolecular Docking SimulationMolecular Dynamics SimulationPenicillin-Binding ProteinsStaphylococcal InfectionsAnti-Bacterial AgentsAntimicrobial PeptidesBacterial ProteinsPenicillin-Binding Proteinsantimicrobial peptidescomputational approachmethicillin-resistant Staphylococcus aureusmolecular dockingmolecular dynamics simulation.Multiple drug resistance

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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.