Evidence map›Paper›PMID 31673107›Full record

ArticleScientific reports2019

Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer.

Reetuparna Acharya, Shinu Chacko, Pritha Bose, Antonio Lapenna, Shakti Prasad Pattanayak

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

54 citing papers in PubMed, 165 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Reetuparna AcharyaDivision of Advanced Pharmacology, Department of Pharm. Sciences & Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, India.
Shinu ChackoDivision of Pharmaceutical Chemistry, Department of Pharm. Sciences & Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India.
Pritha BoseDivision of Advanced Pharmacology, Department of Pharm. Sciences & Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, India.
Antonio LapennaDepartment of Oncology and Metabolism, University of Sheffield Medical School, Beech Hill Road, Sheffield, S102RX, United Kingdom.
Shakti Prasad PattanayakDivision of Advanced Pharmacology, Department of Pharm. Sciences & Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, India. sppattanayak@bitmesra.ac.in.
Birla Institute of Technology, Mesra · INUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the biggest global dilemmas and its current therapy is to target the hormone receptors by the use of partial agonists/antagonists. Potent drugs for breast cancer treatment are Tamoxifen, Trastuzumab, Paclitaxel, etc. which show adverse effects and resistance in patients. The aim of the study has been on certain phytochemicals which has potent actions on ERα, PR, EGFR and mTOR inhibition. The current study is performed by the use of molecular docking as protein-ligand interactions play a vital role in drug design. The 3D structures of ERα, PR, EGFR and mTOR were obtained from the protein data bank and docked with 23 3D PubChem structures of furanocoumarin compounds using FlexX. Drug-likeness property was checked by applying the Lipinski's rule of five on the furanocoumarins to evaluate anti-breast cancer activity. Antagonist and inhibition assay of ERα, EGFR and mTOR respectively has been performed using appropriate in-vitro techniques. The results confirm that Xanthotoxol has the best docking score for breast cancer followed by Bergapten, Angelicin, Psoralen and Isoimperatorin. Further, the in-vitro results also validate the molecular docking analysis. This study suggests that the selected furanocoumarins can be further investigated and evaluated for breast cancer treatment and management strategies.

Indexed as

Binding SitesBreast NeoplasmsCatalytic DomainDrug DesignErbB ReceptorsEstrogen Receptor alphaFemaleFurocoumarinsHumansLigandsMCF-7 CellsMolecular Docking SimulationTOR Serine-Threonine KinasesangelicinEGFR protein, humanErbB ReceptorsEstrogen Receptor alphaFurocoumarinsisoimperatorinLigandsMTOR protein, humanTOR Serine-Threonine Kinases

Identifiers

PMID31673107
PMCPMC6823401
OpenAlexW2982393119

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.