Evidence map›Paper›PMID 40854650›Full record

ArticleJournal, genetic engineering & biotechnology2025

Computational identification of dual COX-1 and NIK inhibitors from marine microalga Chlorella vulgaris.

Mahesh Samantaray, Sthitaprajna Sahoo, Durga Prasad Sahoo, Guneswar Sethi, Sarman Singh, Hak-Kyo Lee, Biswajita Pradhan, Donghyun Shin

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 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. Computational identification of natural inhibitors targeting GroEL inFrontiers in cellular and infection microbiology · 2025
    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

8 authors.

Mahesh SamantarayDirectorate of Medical Research, Aarupadai Veedu Medical College & Hospital, Puducherry 607403, India; Department of Bioinformatics, Pondicherry University, Puducherry 605014, India.
Sthitaprajna SahooDepartment of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Durga Prasad SahooDepartment of Radiation Oncology, Acharya Harihar PG Institute of Cancer, Cuttack 753007 Odisha, India.
Guneswar SethiCenter for Large Animals Convergence Research, Korea Institute of Toxicology, Jeongeup-si, Jeonbuk-do 56212, Republic of Korea.
Sarman SinghDirectorate of Medical Research, Aarupadai Veedu Medical College & Hospital, Puducherry 607403, India.
Hak-Kyo LeeDepartment of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Republic of Korea; Department of Animal Biotechnology, Jeonbuk National University, Jeonju, Republic of Korea.
Biswajita PradhanSchool of Biological Sciences, AIPH University, Bhubaneswar, Odisha, India; Department of Botany, Model Degree College, Rayagada 765017 Odisha, India. Electronic address: pradhan.biswajita2014@gmail.com.
Donghyun ShinDepartment of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Republic of Korea. Electronic address: sdh1214@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for safe and effective anti-inflammatory agents remains a critical area of research due to the widespread impact of chronic inflammatory diseases. Natural compounds, particularly those derived from marine sources, present a promising avenue for developing novel therapeutics. In this study, we investigated the potential of Chlorella vulgaris, a unicellular green alga with a rich profile of bioactive compounds, as a source of anti-inflammatory agents. Through in silico molecular docking and dynamics simulations, we identified compounds C8 and C4 as potent inhibitors of COX-1 and NIK, key targets in inflammatory pathways. These compounds demonstrated significantly stronger binding affinities than standard inhibitors MXM and OWC. For COX-1, C8 and C4 showed binding affinities of -8.625 and -4.359 kcal/mol, respectively, compared to -3.454 kcal/mol for MXM. Similarly, for NIK, the binding affinities were -6.798 and -3.789 kcal/mol for C8 and C4, respectively, compared to -2.628 kcal/mol for OWC. Molecular dynamics simulations further demonstrated that C8 and C4 formed stable interactions, including hydrogen bonds and hydrophobic contacts, with key residues in the active sites of COX-1 and NIK, suggesting a potential for sustained inhibitory activity. These findings highlight the therapeutic potential of C. vulgaris derived compounds for the treatment of inflammatory conditions. Although further in vitro and in vivo studies are necessary to fully elucidate their efficacy and safety, these results provide a promising foundation for the development of novel, naturally sourced anti-inflammatory therapies.

Indexed as

Anti-inflammationGC-MSIn silicoMolecular dockingMolecular dynamic simulation

Identifiers

PMID40854650
PMCPMC12268566

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.