Evidence map›Paper›PMID 39108124›Full record

ArticleCurrent computer-aided drug design2025

Network Pharmacology, Molecular Docking and

Alok Kumar Moharana, Mahendra Gaur, Tapas Kumar Mohapatra, Rudra Narayan Dash, Bharat Bhusan Subudhi

Abstract read
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In one paragraph

Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Alok Kumar MoharanaDrug Development and Analysis Lab, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751029, India.ORCID 0000-0002-6169-6000
Mahendra GaurDrug Development and Analysis Lab, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751029, India.ORCID 0000-0001-5800-7668
Tapas Kumar MohapatraDrug Development and Analysis Lab, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751029, India.ORCID 0000-0003-4754-8973
Rudra Narayan DashDrug Development and Analysis Lab, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751029, India.ORCID 0000-0002-9760-0808
Bharat Bhusan SubudhiDrug Development and Analysis Lab, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751029, India.ORCID 0000-0002-2411-7292

Funding

Department of Biotechnology (D.B.T.), Ministry of Science and Technology, Government of India BT/PR15750/MED/29/1015/2016, BT/INF/22/SP45078/2022
6 · The paper itself

Abstract

introductionArthritis is the cause of morbidity associated with Chikungunya virus (CHIKV) infection. It persists even after the virus has been cleared from the body. MBZM-NIBT was earlier shown to inhibit (CHIKV) infection

objectivesThe objective of this study is to determine the ability of MBZM-N-IBT to manage arthritis independent of CHIKV infection.

methodsThe acute toxicity of MBZM-N-IBT was determined to find a permissible oral dose. Effects against inflammation and arthritis were determined in relevant preclinical models. Network pharmacology was used to propose possible modes of action.

resultsIt showed no acute toxicity orally, with an estimated LD

conclusionIn conclusion, MBZM-N-IBT is safe at 50 mg/kg and can manage arthritis independent of CHIKV infection through modulation of multiple pathways and arthritis-associated targets.

Indexed as

Arthritis, ExperimentalAnimalsMaleMolecular Docking SimulationNetwork PharmacologyRatsArthritisinflammationin vivo.MBZM-N-IBTmolecular dockingnetwork pharmacology

Identifiers

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.