In-silico inquest reveal the efficacy of

Soumyajit Das, Shivaleela Biradar, Rosni Jabin, Sutapa Datta, Farishta Yasmin, Babu Rl, Arnab Sen

Abstract read

In one paragraph

Article in In silico pharmacology, 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

7 authors.

Soumyajit DasMolecular Genetics Laboratory, Department of Botany, University of North Bengal, Siliguri, India.

Shivaleela BiradarLaboratory of Natural Compounds and Drug Discovery, Department of Bioinformatics, Karnataka State Akkamahadevi Women's University, Vijayapura, Karnataka India.

Rosni JabinLichenology laboratory, Department of Botany, Nagaon University, Nagaon, Assam India.

Sutapa DattaMolecular Genetics Laboratory, Department of Botany, University of North Bengal, Siliguri, India.

Farishta YasminLichenology laboratory, Department of Botany, Nagaon University, Nagaon, Assam India.

Babu RlLaboratory of Natural Compounds and Drug Discovery, Department of Bioinformatics, Karnataka State Akkamahadevi Women's University, Vijayapura, Karnataka India.

Arnab SenMolecular Genetics Laboratory, Department of Botany, University of North Bengal, Siliguri, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer being the deadliest malignancy for women, with conventional medication often limited by side effects on normal cell. Phytocompounds based therapies have promising alternative due to their fewer adverse side effects and diverse therapeutic benefits. Lichen shows relationship between algae and fungi, are known for producing unique secondary metabolites with potent bioactivity. In this study, Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00408-3.

Indexed as

Gene ontology.Molecular dynamic simulationNetwork pharmacologyOvarian cancerProtein protein network (PPi)Usnea longissima

Identifiers

PMID40814697

DOI10.1007/s40203-025-00408-3

PMCPMC12343435

What Socratic 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 Socratic graph.