Evidence map›Paper›PMID 40664890›Full record

ArticleScientific reports2025

Characterization of natural therapeutic compounds producing novel bacterial strains isolated from Hyderabad, India.

Anushka Bhrdwaj, Anuraj Nayarisseri, Sanjeev Kumar Singh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Anushka BhrdwajIn silico Research Laboratory, Eminent Biosciences, Indore, 452 010, Madhya Pradesh, India.ORCID http://orcid.org/0000-0002-8219-3285
Anuraj NayarisseriIn silico Research Laboratory, Eminent Biosciences, Indore, 452 010, Madhya Pradesh, India. anuraj@eminentbio.com.ORCID http://orcid.org/0000-0003-2567-9630
Sanjeev Kumar SinghComputer Aided Drug Design and Molecular Modelling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, 630 003, Tamil Nadu, India. skysanjeev@gmail.com.ORCID http://orcid.org/0000-0003-4153-6437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products (NPs) are secondary metabolites that exert their biological effects within and on other organisms. Bacteria are considered potent producers of bioactive natural compounds, due to their versatile biocatalytic activity. The present study aims to isolate, identify, and analyze four novel bacterial strains that have the potential to produce NPs. The novelty was determined via taxonomical assessment using various biochemical and quantitative antagonistic screening assays. 16S rRNA molecular characterization and bioinformatics analysis identified the isolates as Klebsiella pneumoniae strain ABSKSLAB01, Klebsiella quasipneumonia strain ABSKSLAB02, Streptomyces minutiscleroticus strain ABSKSLAB03, and Streptomyces peucetius strain ABSKSLAB04. Their bacterial sequences were deposited in the GenBank database with accession numbers 'OP597532', 'OP597545', 'OQ061473', and 'PP086938', respectively. Among all the bacterial strains, ABSKSLAB04 demonstrated the highest antagonistic activity and the potential to produce NPs. Further optimization studies using the OVAT approach and statistical investigations via Plackett-Burman, RSM-Box-Behnken design, and artificial neural network rendered the optimized culture conditions to produce NPs: pH 7 ± 1.2, temperature 40 ± 5 °C, and inositol concentration of 5.5 ± 1.5, resulting in maximum antagonistic activity of 29.81 mm. The ANN model reflected superior predictive capacity compared to the RSM model with enhanced statistical metrics: R

Indexed as

BacteriaBiological ProductsStreptomycesAnti-Bacterial AgentsIndiaKlebsiellaKlebsiella pneumoniaePhylogenyRNA, Ribosomal, 16SAnti-Bacterial AgentsBiological ProductsRNA, Ribosomal, 16S16S rRNA gene sequencingArtificial neural networkBox Behnken designNatural therapeutic productsPlackett – Burman design

Identifiers

PMID40664890
PMCPMC12263891

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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.