Evidence map›Paper›PMID 37454152›Full record

ArticleScientific reports2023

Investigation of the therapeutic role of native plant compounds against colorectal cancer based on system biology and virtual screening.

Abbas Alibakhshi, Rahim Malekzadeh, Sayedeh Azimeh Hosseini, Hajar Yaghoobi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Research in pharmaceutical sciences · 2026
    Article
  2. Article
  3. International journal of molecular sciences · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Advanced biomedical research · 2025
    Article
  8. Article
  9. TRPV1-Dependent Antiproliferative Activity of DioeciousInternational journal of molecular sciences · 2024
    Article
  10. Review
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

4 authors at 2 institutions in 1 country.

Abbas Alibakhshi *Molecular Medicine Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Rahim Malekzadeh *Department of Medical Biotechnology, School of Advanced Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Sayedeh Azimeh HosseiniDepartment of Medical Biotechnology, School of Advanced Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Hajar YaghoobiClinical Biochemistry Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran. hajar.yaghoobi64@gmail.com.
Shahrekord University of Medical Sciences · IRHamedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the anticancer effects of compounds extracted from native plants on colon cancer following drug-target-network analysis and molecular docking. Based on the ChEBI database, compounds were identified in medicinal plants and weeds in the Chaharmahal and Bakhtiari provinces of Iran. A drug-target network was constructed based on candidate colon cancer protein targets and selective compounds. Network pharmacology analysis was conducted against the identified compounds and subjected to molecular docking studies. Based on molecular dynamics simulations, the most efficient compounds were evaluated for their anticancer effects. Our study suggests that TREM1, MAPK1, MAPK8, CTSB, MIF, and DPP4 proteins may be targeted by compounds in medicinal plants for their anti-cancer effects. Multiorthoquinone, Liquiritin, Isoliquiritin, Hispaglabridin A, Gibberellin A98, Cyclomulberrin, Cyclomorusin A, and Cudraflavone B are effective anticancer compounds found in targeted medicinal plants and play an important role in the regulation of important pathways in colon cancer. Compounds that inhibit MIF, CTSB, and MAPK8-16 appear to be more effective. Additional in vitro and in vivo experiments will be helpful in validating and optimizing the findings of this study.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsDrugs, Chinese HerbalPlants, MedicinalBiologyEarly Detection of CancerHumansMolecular Docking SimulationDrugs, Chinese Herbal

Identifiers

PMID37454152
PMCPMC10349871
OpenAlexW4384405576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.