Evidence map›Paper›PMID 38601803›Full record

ArticleIn silico pharmacology2024

Discovery of potential epidermal growth factor receptor inhibitors from black pepper for the treatment of lung cancer: an

Olusola Olalekan Elekofehinti, Ifeoluwa Rachael Adetoyi, Hannah Oluwaseun Popoola, Folasade Oluwatobiloba Ayodeji, Foluso Adeola Taiwo, Moses Orimoloye Akinjiyan, Omowunmi Funmilayo Koledoye, Opeyemi Iwaloye, Abayomi Emmanuel Adegboyega

Open access · greenAbstract read
In one paragraph

Article in In silico pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Cancer management and research · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Identification of phyto-compounds fromIn silico pharmacology · 2025
    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

9 authors at 4 institutions in 2 countries.

Olusola Olalekan ElekofehintiBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Ifeoluwa Rachael AdetoyiBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Hannah Oluwaseun PopoolaPhytomedicine Biochemical Pharmacology and Toxicology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Folasade Oluwatobiloba AyodejiBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Foluso Adeola TaiwoBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Moses Orimoloye AkinjiyanBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Omowunmi Funmilayo KoledoyePhytomedicine Biochemical Pharmacology and Toxicology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Opeyemi IwaloyeBioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, Akure, Ondo State Nigeria.
Abayomi Emmanuel AdegboyegaDepartment of Biochemistry, Faculty of Basic Medical Sciences, University of Jos, Jos, Plateau State Nigeria.
Federal University of Technology · NGPlateau State University · NGBioscience Research · USUniversity of Jos · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A tyrosine kinase receptor known as epidermal growth factor receptor (EGFR) is one of the main tumour markers in many cancer types and also plays a crucial role in cell proliferation, differentiation, angiogenesis, and apoptosis, which is a result of the auto-phosphorylations (kinase activity enhancement) that trigger signals involved in different cellular processes. Due to the discovery that non-small cell lung cancer (NSCLC) is a cause of this kinase activity enhancement, so far, several inhibitors have been tested against EGFR, but the side effects of these inhibitors necessitate an urgent measure to come up with an inhibitor that will be more specific to the cancer cells and not affect self-cells. This study was conducted to evaluate the efficacy of 37 compounds derived from Piper nigrum against EGFR using computer-aided drug design. Based on molecular docking, induced-fit docking, calculation of free binding energy, pharmacokinetics, QSAR prediction, and MD simulation. We propose five (5) lead compounds (clarkinol A, isodihydrofutoquinol B, Burchellin, kadsurin B, and lancifolin C) as a novel inhibitor, with clarkinol A demonstrating the highest binding affinity (-7.304 kcal/mol) with EGFR when compared with the standard drug (erlotinib). They also showed significant moderation for parameters investigated for a good pharmacokinetic profile, with a reliable R2 coefficient value predicted using QSAR models. The MD simulation of clarkinol A was found to be stable within the EGFR binding pocket throughout the 75 ns simulation run time. The findings showed that clarkinol A derived from Piper nigrum is worth further investigation and consideration as a possible EGFR inhibitor for the treatment of lung cancer. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00197-1.

Indexed as

CancerChemotherapyInhibitorsIn silicoMedicinal plants

Identifiers

PMID38601803
PMCPMC11001845
OpenAlexW4394581919

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.