Evidence map›Paper›PMID 40969544›Full record

ArticleIn silico pharmacology2025

In-silico identification of COX-2 inhibitory phytochemicals from traditional medicinal plants: molecular docking, dynamics, and safety predictions.

Faranak Abdollahi, Farzin Hadizadeh, Sadegh Farhadian, Reza Assaran-Darban, Neda Shakour

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Faranak Abdollahi *Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Farzin HadizadehBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Sadegh FarhadianDepartment of Biology, Faculty of Science, Shahrekord University, Shahrekord, Iran.
Reza Assaran-DarbanDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Neda Shakour *Department of Medicinal Chemistry, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation is an essential biological response that facilitates tissue repair and immune defense; however, chronic inflammation is associated with numerous pathological conditions, including cardiovascular diseases, autoimmune disorders, and cancer. Cyclooxygenase-2 (COX-2) is a key enzyme in this process, catalyzing the synthesis of pro-inflammatory prostaglandins, thus representing a critical target for anti-inflammatory therapies. Conventional COX-2 inhibitors, particularly non-steroidal anti-inflammatory drugs (NSAIDs), often have significant side effects, creating an urgent need for safer alternatives. This in-silico study evaluates the binding affinities of bioactive compounds from Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00407-4.

Indexed as

Binding affinityBioactive compoundsCOX-2 receptorIn-silico studyMolecular dockingMolecular dynamicsPharmacokinetics properties

Identifiers

PMID40969544
PMCPMC12440849

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.