Evidence map›Paper›PMID 41774231›Full record

ArticleCurrent microbiology2026

Mining Microbial Genomes for Anti-Pseudomonal Peptides: A Translational In Silico Framework.

Rajendra Kr Roy, Raju Biswas, Anubhab Laha, Rajdeep Shaw, Rahul Chandra, Anindya Sundar Panja, Analabha Roy, Rajib Bandopadhyay

Abstract read
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Article in Current microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Rajendra Kr RoyMicrobiology Section, Department of Botany, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India.ORCID http://orcid.org/0009-0007-6009-9283
Raju BiswasMicrobiology Section, Department of Botany, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India.ORCID http://orcid.org/0000-0001-5455-6133
Anubhab LahaMicrobiology Section, Department of Botany, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India.ORCID http://orcid.org/0000-0001-5682-8817
Rajdeep ShawMicrobiology Section, Department of Botany, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India.ORCID http://orcid.org/0000-0001-7986-794X
Rahul ChandraDepartment of Physics, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India.ORCID http://orcid.org/0000-0001-6328-2461
Anindya Sundar PanjaOriental Institute of Science and Technology, Vidyasagar University, Midnapore, 721102, West Bengal, India.ORCID http://orcid.org/0000-0003-2823-9948
Analabha RoyDepartment of Physics, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India. daneel@utexas.edu.ORCID http://orcid.org/0000-0002-4797-0624
Rajib BandopadhyayMicrobiology Section, Department of Botany, The University of Burdwan, Golapbag Campus, Bardhaman, 713104, West Bengal, India. rajibindia@gmail.com.ORCID http://orcid.org/0000-0002-8318-5631

Funding

Council of Scientific and Industrial Research, India 09/0025(12757)/2021-EMR-IScience and Engineering Research Board CRG/2018/004002University Grants Commission 708/(CSIRNETJUNE2019)
6 · The paper itself

Abstract

Pseudomonas aeruginosa constitutes a substantial health risk, instigating diseases such as pneumonia and sepsis in vulnerable hospitalized patients. The World Health Organization categorizes it as a high-priority bacterial pathogen owing to its marked resistance to multiple antibiotics. This pathogen poses substantial management challenges, thereby necessitating the exploration of alternative therapeutic strategies. Computational methodologies facilitate the rapid identification of antimicrobial peptides (AMPs) with heightened specificity and effectiveness against P. aeruginosa by employing genomic, transcriptomic, and structural data. This in silico study aims to identify AMPs from Bacillus and Pseudomonas genomes that may act against multidrug-resistant (MDR) P. aeruginosa by targeting Pyocyanin (PYC, a pigment virulence factor) and key membrane lipids. From 500 AMPs analyzed in the 351 genomes of Bacillus and Pseudomonas, three noteworthy candidates were identified: UviB from Bacillus altitudinis, along with two Colicins from P. koreensis and P. monsensis. The Colicins surpassed UviB in all evaluations, being nontoxic, nonhemolytic, nonallergic, biofilm-active, highly stable, and immunogenic, thus encouraging further investigation. The Colicin from P. koreensis (ColicinPk) exhibited significant non-bonded interactions with PYC, maintaining persistent proximity throughout the simulations. Both ColicinPk and ColicinPm (from P. monsensis) encompassed the pathogen’s primary lipids, Phosphatidylglycerol (PGL) and Phosphatidylethanolamine (PEA), respectively. The separation of ColicinPk from PGL was dynamically constrained via transient hydrogen bonds and non-bonded interactions. ColicinPm-PEA also showed an attractive free energy landscape like ColicinPk-PYC. Hence, these Colicins might counteract MDR P. aeruginosa by neutralizing PYC and damaging its membrane structure through interactions with key lipid backbones.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesBacillusGenome, BacterialPseudomonasPseudomonas aeruginosaColicinsComputer SimulationPyocyanineAnti-Bacterial AgentsAntimicrobial PeptidesColicinsPyocyanine

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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.