Evidence map›Paper›PMID 41120718›Full record

ArticleScientific reports2025

Isolation, structural characterization, and anticancer potential of a novel glycolipid biosurfactant S1B with AI-driven medium optimization.

Rohit Pritam Das, Subhadarsini Sahoo, Sudhir Kumar Paidesetty, Iqrar Ahmad, Arun Kumar Pradhan

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

5 authors.

Rohit Pritam DasDepartment of Bioengineering, Centre for Biotechnology, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India.
Subhadarsini SahooDepartment of Biochemistry, Indian Institute of Science, Bangalore, India.
Sudhir Kumar PaidesettyDepartment of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India.
Iqrar AhmadDepartment of Pharmaceutical Chemistry, Prof. Ravindra Nikam College of Pharmacy, Gondur, Dhule, Maharashtra, 424002, India.
Arun Kumar PradhanDepartment of Bioengineering, Centre for Biotechnology, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India. arunpradhan@soa.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycolipid biosurfactants (BSs) are multifunctional biomolecules with potential applications in therapeutics and industry due to their biocompatibility and biodegradability. In this study, we report the isolation and characterization of a novel glycolipid biosurfactant from a Bacillus species, with emphasis on its anticancer properties and production optimization using a machine learning (ML) algorithm. Water samples from the Ganga River were screened for biosurfactant-producing strains, and the most efficient isolate was cultivated under optimized conditions. The purified biosurfactant was structurally characterized using Fourier-transform infrared (FTIR) spectroscopy, proton and carbon nuclear magnetic resonance (

Indexed as

Antineoplastic AgentsBacillusGlycolipidsSurface-Active AgentsCell Line, TumorHumansMachine LearningNeural Networks, ComputerSpectroscopy, Fourier Transform InfraredAntineoplastic AgentsGlycolipidsSurface-Active AgentsAnticancerBacillusBiosurfactantGlycolipidMLP-ANN

Identifiers

PMID41120718
PMCPMC12540991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.