Evidence map›Paper›PMID 37099048›Full record

ArticleJournal of molecular modeling2023

Quantum evaluation and therapeutic activity of (E)-N-(4-methoxyphenyl)-2-(4-(3-oxo-3-phenylprop-1-en-1-yl) phenoxy)acetamide and its modified derivatives against EGFR and VEGFR-2 in the treatment of triple-negative cancer via in silico approach.

Nureni Ipinloju, Abdulwasiu Ibrahim, Renato Araujo da Costa, Tawakalit Boluwatife Adigun, Samuel Olawale Olubode, Kehinde Joan Abayomi, Abdulsamad Omotayo Aiyelabegan, Timothy Oluwaseun Esan, Suleiman Alhaji Muhammad, Oluwatoba Emmanuel Oyeneyin

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 10 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

10 authors at 4 institutions in 2 countries.

Nureni IpinlojuTheoretical and Computational Chemistry Unit, Department of Chemical Sciences, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria. Nureniipinloju@gmail.com.
Abdulwasiu IbrahimDepartment of Biochemistry and Molecular Biology, Usmanu Danfodiyo University, Sokoto, Nigeria. Ibrahimabdulwasiu44@gmail.com.
Renato Araujo da CostaInstitute of Education, Science and Technology of Para (IFPA), Campus Abaetetuba, Abaetetuba, Para, Brazil.
Tawakalit Boluwatife AdigunGWATAVRI Research and Biotechnology Nigeria Limited, Lagos, Nigeria.
Samuel Olawale OlubodeDepartment of Biochemistry, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria.
Kehinde Joan AbayomiFaculty of Medical Laboratory Science, Usmanu DanFodiyo University, Sokoto, Nigeria.
Abdulsamad Omotayo AiyelabeganBiology Unit, Department of Biological Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria.
Timothy Oluwaseun EsanDepartment of Chemical Sciences, Bamidele Olumilua University of Education Science and Technology, Ikere-Ekiti, Ekiti State, Nigeria.
Suleiman Alhaji MuhammadDepartment of Biochemistry and Molecular Biology, Usmanu Danfodiyo University, Sokoto, Nigeria.
Oluwatoba Emmanuel OyeneyinTheoretical and Computational Chemistry Unit, Department of Chemical Sciences, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria. oluwatoba.oyeneyin@aaua.edu.ng.
Usmanu Danfodiyo University · NGAdekunle Ajasin University · NGEkiti State University · NGInstituto Federal de Educação, Ciência e Tecnologia do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most dangerous subtype of breast cancer, triple-negative breast cancer (TNBC), accounts for 25% of all breast cancer-related deaths and 15% of all breast cancer cases. TNBC is distinguished by the lack of immunohistochemical expression of HER2, progesterone receptors, or oestrogen receptors. Although it has been reported that upregulation of EGFR and VEGFR-2 is associated with TNBC progression, no proven effective targeted therapy exists at this time. We used structural bioinformatics methods, including density functional theory, molecular docking, molecular dynamic simulation, pharmacokinetic and drug-likeness models, to identify promising EGFR/VEGFR-2 inhibitors from N-(4-methoxyphenyl)-2-[4-(3-oxo-3-phenylprop-1-en-1-yl) phenoxy] acetamide and six of its modified derivatives in light of the lack of effective targets inhibitor Version 14 of Spartan software was used to analyse density functional theory. The Schrodinger software suite 2018's Maestro interface was used for the molecular docking analysis, and the admetSAR and swissADME servers were used for drug-likeness and absorption, distribution, metabolism, excretion, and toxicity. All of the compounds showed strong electronic characteristics. Additionally, all of the tested compounds met the ADMET and drug-likeness requirements without a single instance of Lipinski's rule of five violations. Additionally, the molecules' levels of affinity for the target proteins varied. The highest binding affinities were demonstrated by the MOLb-VEGFR-2 complex (- 9.925 kcal/mol) and the MOLg-EGFR complex (- 5.032 kcal/mol). The interaction of the molecules in the domain of the EGFR and VEGFR-2 receptors was also better understood through molecular dynamic simulation of the complex.

Indexed as

Triple Negative Breast NeoplasmsAcetamidesErbB ReceptorsHumansMolecular Docking SimulationVascular Endothelial Growth Factor Receptor-2AcetamidesEGFR protein, humanErbB ReceptorsVascular Endothelial Growth Factor Receptor-2Breast cancerDensity functional theoryDrug-likenessMolecular dockingMolecular dynamic simulationPharmacokineticsTriple-negative breast cancer (TNBC)

Identifiers

PMID37099048
OpenAlexW4367048140

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.