Evidence map›Paper›PMID 38698754›Full record

ArticleCurrent pharmaceutical design2024

Computational Screening of Some Phytochemicals to Identify Best Modulators for Ligand Binding Domain of Estrogen Receptor Alpha.

Veerachamy Alagarsamy, Pottabathula Shyam Sundar, Viswas Raja Solomon, Sankaranarayanan Murugesan, Mohammed Muzaffar-Ur-Rehman, Vishaka Sumant Kulkarni, Mohaideen Thasthagir Sulthana, Bandi Narendhar, Govindraj Sabarees

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

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2citing papers in PubMed
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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

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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. Medicinal chemistry (Shariqah (United Arab Emirates)) · 2025
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Veerachamy AlagarsamyMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy 502 294, Gr. Hyderabad, India.
Pottabathula Shyam SundarDepartment of Pharmaceutical Chemistry, Vasantidevi Patil Institute of Pharmacy, Kodoli, Panahala, Kolhapur, Maharashtra 416114, India.
Viswas Raja SolomonMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy 502 294, Gr. Hyderabad, India.
Sankaranarayanan MurugesanDepartment of Pharmacy, BITS Pilani, Pilani Campus, Pilani 333031, India.
Mohammed Muzaffar-Ur-RehmanDepartment of Pharmacy, BITS Pilani, Pilani Campus, Pilani 333031, India.
Vishaka Sumant KulkarniMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy 502 294, Gr. Hyderabad, India.
Mohaideen Thasthagir SulthanaMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy 502 294, Gr. Hyderabad, India.
Bandi NarendharMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy 502 294, Gr. Hyderabad, India.
Govindraj SabareesDepartment of Pharmaceutical Chemistry, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe peculiar aim of this study is to discover and identify the most effective and potential inhibitors against the most influential target ERα receptor by in silico studies of 45 phytochemicals from six diverse ayurvedic medicinal plants.

methodsThe molecular docking investigation was carried out by the genetic algorithm program of AutoDock Vina. The molecular dynamic (MD) simulation investigations were conducted using the Desmond tool of Schrödinger molecular modelling. This study identified the top ten highest binding energy phytochemicals that were taken for drug-likeness test and ADMET profile prediction with the help of the web-based server QikpropADME.

resultsMolecular docking study revealed that ellagic acid (-9.3 kcal/mol), emodin (-9.1 kcal/mol), rhein (-9.1 kcal/mol), andquercetin (-9.0 kcal/mol) phytochemicals showed similar binding affinity as standard tamoxifen towards the target protein ERα. MD studies showed that all four compounds possess comparatively stable ligand-protein complexes with ERα target compared to the tamoxifen-ERα complex. Among the four compounds, phytochemical rhein formed a more stable complex than standard tamoxifen. ADMET studies for the top ten highest binding energy phytochemicals showed a better safety profile.

conclusionAdditionally, these compounds are being reported for the first time in this study as possible inhibitors of ERα for treating breast cancer, according to the notion of drug repurposing. Hence, these phytochemicals can be further studied and used as a parent core molecule to develop innovative lead molecules for breast cancer therapy.

Indexed as

Estrogen Receptor alphaMolecular Docking SimulationPhytochemicalsDrug Evaluation, PreclinicalHumansLigandsMolecular Dynamics SimulationESR1 protein, humanEstrogen Receptor alphaLigandsPhytochemicalsADMET studiesayurvedic medicinal plants.breast cancerERα receptormolecular dockingphytochemicals

Identifiers

PMID38698754

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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 Socratic graph.