ArticleMedicinal chemistry (Shariqah (United Arab Emirates))2025
Article in Medicinal chemistry (Shariqah (United Arab Emirates)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is noteworthy that a wide array of plants and nutraceuticals are effectively utilized in the treatment of various cancers, demonstrating potent effects on different cancer targets with fewer side effects. Notably, estrogen alpha has been identified as a crucial factor in breast cancer cell proliferation. Agents that can antagonize its action hold promise as potential drug leads for the treatment of breast cancer.
objectiveThis study aims to discover and identify the potential inhibitors against the most influential ERα receptor by the computational approach of 134 phytochemicals from 17 medicinal plants by using
methodsThe molecular docking was performed by a genetic algorithm using the Auto Dock Vina program, and the validation of docking was also performed by using Molecular Dynamic (MD) simulation by the Desmond tool of Schrödinger molecular modeling. Drug-likeness properties and toxicity studies were conducted using SWISS PRO.
resultsThe top ten highest binding energy phytochemicals ginicidin (-10.8 kcal/mol), lemairone (-10.5 kcal/mol), ixoratannin (-10.0 kcal/mol), hydnocarpine (-9.8 kcal/mol), arabelline (-9.8 kcal/mol), acutilobine E (-9.8 kcal/mol), chaparinone (-8.9 kcal/mol), plumieride coumerate (-8.8 kcal/mol), acutilobine C (-8.7 kcal/mol), and mezerein (-8.7 kcal/mol) were taken for drug-likeness test and ADMET profile prediction with the help of web-based server SWISS ADME and protoxII. Docking's study dictated that ten phytochemical constituents showed greater binding interactions than standard tamoxifen (-6.6 kcal/mol) towards the target protein ERα. MSD study was achieved for the most active 4 phytoconstituents, and the stability of the ligand-protein complex was confirmed and showed that all the four compounds possess comparatively stable ligand-protein complexes with ERα target as compared to the tamoxifen-ERα complex.
conclusionAmong the top ten phytochemicals, ginicidin (glycoside) formed a more stable complex and had greater binding affinity than standard tamoxifen with better safety profiles. Hence, this compound can be further studied for lead optimization and drug development for the treatment of breast cancer.
Indexed as
Identifiers
40007185What Socratic holds
Registered trials
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.