Evidence map›Paper›PMID 37888813›Full record

ArticleCurrent computer-aided drug design2024

Synthesis, and

Rahul Charudatta Choudhari, Kamalpreet Kaur, Agnidipta Das, Vikas Jaitak

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Article in Current computer-aided drug design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Rahul Charudatta ChoudhariDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda (Pb), 151401, India.
Kamalpreet KaurDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda (Pb), 151401, India.
Agnidipta DasDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda (Pb), 151401, India.
Vikas JaitakDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda (Pb), 151401, India.
Central University of Punjab · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the prominent reason of death in women worldwide, and the cases are increasing day by day. There are many FDA-approved drugs for treating breast cancer. Due to drug resistance, and problems in selectivity, there is a need to develop more effective agents with few side effects. Indole derivatives have demonstrated significant pharmacological potential as anti-breast cancer agents. Further, chalcone derivatives incorporating heterocyclic scaffolds play a significant role in medicine. Indole-chalcone-based compounds offer the potential for improved biological activity and enhanced drug-like properties. It prompted us to explore the synthesis of Indole-Chalcone derivatives targeting estrogen receptor alpha (ER-α) to discover potent anti-breast cancer agents.

objectivesTo synthesize indole-chalcone derivatives and study their binding interactions for ER-α protein by molecular docking for breast cancer treatment.

methodsIn this study, indole-chalcone derivatives have been synthesized using conventional heating. With the help of Schrodinger software, molecular interaction as well as ADME (Adsorption, Distribution, Metabolism, and Excretion) studies of the compounds were conducted.

resultsAmong all the synthesized compounds, four compounds (1, 2, 3, and 4) showed better docking scores (-10.24 kcal/mol, -10.15 kcal/mol, -9.40 kcal/mol, -9.29 kcal/mol, respectively) than the standard tamoxifen (-8.43 kcal/mol).

conclusionFrom

Indexed as

Antineoplastic AgentsBreast NeoplasmsEstrogen Receptor alphaIndolesMolecular Docking SimulationChalconeChalconesComputer SimulationFemaleHumansAntineoplastic AgentsChalconeChalconesESR1 protein, humanEstrogen Receptor alphaindoleIndolesADME.anti-breast canceranti-cancerestrogen receptorIndole-chalconein-silico

Identifiers

PMID37888813
OpenAlexW4387653435

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.