Evidence map›Paper›PMID 35106037›Full record

ArticleStructural chemistry2022

A comprehensive exploration of pharmacological properties, bioactivities and inhibitory potentiality of luteolin from

Shradha Lakhera, Meenakshi Rana, Kamal Devlal, Ismail Celik, Rohitash Yadav

Open access · bronzeAbstract read
In one paragraph

Article in Structural chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

5 authors at 3 institutions in 2 countries.

Shradha LakheraDepartment of Physics, School of Sciences, Uttarakhand Open University, Haldwani, 263139 Uttarakhand India.
Meenakshi RanaDepartment of Physics, School of Sciences, Uttarakhand Open University, Haldwani, 263139 Uttarakhand India.
Kamal DevlalDepartment of Physics, School of Sciences, Uttarakhand Open University, Haldwani, 263139 Uttarakhand India.
Ismail CelikDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, 38039 Turkey.
Rohitash YadavAll India Institute of Medical Sciences, Rishikesh, 249203 Uttarakhand India.
Uttarakhand Open University · INAll India Institute of Medical Sciences RishikeshErciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tridax procumbens is a flowering plant of the Asteraceae family with a wide range of medicinal uses like anti-inflammatory, anti-diabetic, anti-microbial, immunomodulatory, etc. This study aimed to investigate the anti-cancerous activity of human lung cancer for targeting luteolin, a phytochemical of Tridax procumbens. The computational study has been done for studying the structural properties of luteolin. The drug-likeness of the molecule has been predicted by virtual screening of ADMET properties. The molecular docking technique of the in-silico method is performed to check the complex formation between protein and ligand. The reactivity and stability of the molecule are investigated with the help of molecular dynamics (MD) simulations. In the present work, we have tried to establish a strong candidature of any of the phytochemical of Tridax Procumbens as an inhibitor against human lung cancer. Supplementary information: The online version contains supplementary material available at 10.1007/s11224-022-01882-7.

Indexed as

DFT analysisMCM7Molecular DockingMolecular Dynamics Simulations

Identifiers

PMID35106037
PMCPMC8795348
OpenAlexW4220685004

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.