Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

GC–MS ANALYSIS, IN SILICO ANALYSIS OF PHYTOCOMPOUNDS FROM CROTON BONPLANDIANUM AGAINST LUNG CANCER

Authors: (Dr). Aman Singh Patel1*, Vipin Maury2, Anshika Patel1;

GC–MS ANALYSIS, IN SILICO ANALYSIS OF PHYTOCOMPOUNDS FROM CROTON BONPLANDIANUM AGAINST LUNG CANCER

Abstract

This study aimed to identify putative anti-cancer phytocompounds using gas chromatography-mass spectrometry in an ethanolic extract of the whole Croton bonplandianum plant. These molecular docking investigations aimed to determine the impact of the discovered phytocompounds on a protein specific to lung cancer. The ADMET capabilities of the discovered phytocompounds were also assessed by testing their pharmacokinetic characteristics. The docking software PyRx was used for molecular docking studies, and SwissADME was used to investigate the pharmacokinetic features of phytocompounds. Based on their pharmacokinetics and fallow Lipinski's rule of properties, for molecular docking, seven phytomolecules were selected. A pair of these chemicals demonstrated exceptional binding affinity for a protein that is specific to lung cancer. Their molecular weights are 7.2 kcal/mol for Alpha-tocospiro A and 1, 4-Dibutyl benzene-1,4- dicarboxylate, respectively. These findings also support the use of molecular dynamics modeling to confirm the interaction between phytocompounds and proteins. This study's findings suggest that phytocompounds found in an ethanolic extract of the Croton bonplandianum entire plant may one day be useful in the treatment of lung cancer.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!