Evidence map›Paper›PMID 40162454›Full record

ArticleBioinformation2024

Molecular docking analysis of breast cancer target RAC1B with ligands.

Kajal Verma, Lakshmi Pillai

Abstract read
In one paragraph

Article in Bioinformation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Kajal VermaInstitute of Sciences, SAGE University, Indore Madhya Pradesh, India 452020.
Lakshmi PillaiInstitute of Sciences, SAGE University, Indore Madhya Pradesh, India 452020.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a malignant neoplasm that arises from the breast tissue, and the best chemotherapy preventive approach is to identify potent inhibitors. In this study, focusing on the Rac1b protein may be an effective approach to developing drug alternatives to treat breast cancer, and we have employed structure-based drug design with the available drugs. Afterwards, molecular docking was used to identify novel inhibitors, and in order to compute the drug likeness and medicinal chemistry, the best-docked complex was put through ADMET studies followed by molecular dynamics simulations to check the stability of the protein-ligand complex using RMSD, RMSF and protein-ligand interactions. Therefore, it is of interest to report the molecular docking analysis of breast cancer target RAC1B with ligands. Here, data shows that the therapeutic compounds that were evaluated showed greater stability in comparison to the reported compounds, EHop-016 and has found promising medication possibilities for breast cancer that target Rac1b.

Indexed as

ADMETbreast cancermolecular dockingmolecular dynamics simulationRAC1BStructure based drug design

Identifiers

PMID40162454
PMCPMC11953550

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.