Evidence map›Paper›PMID 35381943›Full record

ArticleIn vitro cellular & developmental biology. Animal2022

In silico and in vitro evaluation of silibinin: a promising anti-Chikungunya agent.

Sudip Kumar Dutta, Siddhartha Sengupta, Anusri Tripathi

Abstract read
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In one paragraph

Article in In vitro cellular & developmental biology. Animal, 2022. 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
1.2field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Sudip Kumar DuttaDepartment of Biochemistry and Medical Biotechnology, Calcutta School of Tropical Medicine, 108, C.R. Avenue, Kolkata, 700073, West Bengal, India.
Siddhartha SenguptaDepartment of Biochemistry and Medical Biotechnology, Calcutta School of Tropical Medicine, 108, C.R. Avenue, Kolkata, 700073, West Bengal, India.
Anusri TripathiDepartment of Biochemistry and Medical Biotechnology, Calcutta School of Tropical Medicine, 108, C.R. Avenue, Kolkata, 700073, West Bengal, India. anusri.stm@gmail.com.ORCID http://orcid.org/0000-0002-8720-4342
Medical College and Hospital, Kolkata · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chikungunya virus (CHIKV) infection and subsequent high patient morbidity is a global threat. The present study aimed to identify the potent antiviral agent against Chikungunya virus, with minimum in vitro cytotoxicity. CHIKV nsP4 3D structure was determined using the I-TASSER server followed by its refinement and pocket determination. Furthermore, high-throughput molecular docking was employed to identify candidate CHIKV nsP4 inhibitors in a library containing 214 compounds. The top ranked compound was evaluated further with various assays, including cytotoxicity, antiviral activity, time of drug addition, viral entry attachment, and microneutralization assays. High-throughput computational screening indicated silibinin to have the best interaction with CHIKV nsP4 protein, immature and mature glycoproteins with highest negative free binding energy, - 5.24 to - 5.86 kcal/mol, and the lowest inhibitory constant, 50.47 to 143.2 µM. Further in vitro analysis demonstrated silibinin could exhibit statistically significant (p < 0.05) dose-dependent anti-CHIKV activity within 12.5-100-µM concentrations with CC

Indexed as

Chikungunya FeverChikungunya virusAnimalsAntiviral AgentsChlorocebus aethiopsMolecular Docking SimulationSilybinVero CellsVirus ReplicationAntiviral AgentsSilybinAntiviral agentsChikungunya virusIn vitroMolecular dockingSilibinin

Identifiers

PMID35381943
OpenAlexW4223557713

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.