Evidence map›Paper›PMID 36518133›Full record

ArticleBioinformation2022

Molecular docking analysis of lupeol with different cancer targets.

Mahalakshmi Gunasekaran, Ravali Ravi, Kavimani Subramanian

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Chromatographic analysis of selected phytosterols fromCurrent research in toxicology · 2023
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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

3 authors at 1 institution in 1 country.

Mahalakshmi GunasekaranDepartment of Pharmacology, College of Pharmacy, Mother Theresa Post Graduate and Research Institute of Health Science, Pondicherry University, Puducherry-605006, India.
Ravali RaviDepartment of Pharmacology, College of Pharmacy, Mother Theresa Post Graduate and Research Institute of Health Science, Pondicherry University, Puducherry-605006, India.
Kavimani SubramanianDepartment of Pharmacology, College of Pharmacy, Mother Theresa Post Graduate and Research Institute of Health Science, Pondicherry University, Puducherry-605006, India.
Research Institute of Health Sciences · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lupeol is one of the secondary metabolite (triterpenoid) present in many medicinally effective plants. It has numerous biological and pharmacological actions. Lupeol is found to have effective herbs and has immense biological activity against several diseases including its cytotoxic effect on cancer cells. In recent drug designing, molecular study of analysis is usually used for understanding the target and the ligand interaction. Therefore, it is of interest to document the molecular docking analysis data of lupeol with different cancer targets such as Caspase- 3, BCL-2, Topoisomerase, PTK, mTOR, H-Ras, PI3K, and AKT. These molecular docking studies were carried out by using AutoDock tools 4.2 version software. Molecular docking analyses of lupeol with target protein were found to have good dock score and minimum inhibition constant. BCL-2, Topoisomerase, PTK, mTOR and PI3Kdocking studies showed the best binding energy inhibition constant and ligand efficiency. The in-silico molecular docking analysis showed that the lupeol having relatively good docking energy, affinity and efficiency towards the active macromolecule, thus it may be considered as good inhibitor of proliferating cancer cells. By this knowledge of docking results, the lupeol can be used as promising drug for anticancer activity.

Indexed as

cancer targetslupeolMolecular docking

Identifiers

PMID36518133
PMCPMC9722432
OpenAlexW4292559538

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.