Evidence map›Paper›PMID 41907934›Full record

ArticleBioinformation2025

Screening of potential ligands from the ZINC database with RAC1B using molecular docking and dynamics simulation analysis.

Kajal Verma, Lakshmi Pillai

Abstract read
In one paragraph

Article in Bioinformation, 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

2 authors.

Kajal VermaInstitute of Sciences, SAGE University, Indore, Madhya Pradesh, India.
Lakshmi PillaiInstitute of Sciences, SAGE University, Indore, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains the most frequently diagnosed cancer among women worldwide. Therefore, it is of interest to document the Screening for potential ligands from the ZINC database with RAC1B using molecular docking and dynamics simulation analysis. Data shows the optimal binding of five lead compounds ZINC5277811, ZINC16485670, ZINC20530618, ZINC29990274, and ZINC3528881 with RAC1B for further consideration.

Indexed as

ADMEBreast cancermolecular dockingmolecular dynamics simulationpharmacophore modellingRAC1B

Identifiers

PMID41907934
PMCPMC13018438

What OpenQuestion holds

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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.