Evidence map›Paper›PMID 39569037›Full record

ArticleIn silico pharmacology2024

In-silico studies on evaluating the liver-protective effectiveness of a polyherbal formulation in preventing hepatocellular carcinoma progression.

Haritha Kalath, Riya Vishwakarma, Bhavya Banjan, Krishnapriya Ramakrishnan, Abel John Koshy, Rajesh Raju, Niyas Rehman, Amjesh Revikumar

Abstract read
In one paragraph

Article in In silico pharmacology, 2024. 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. Article
  2. 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.

Haritha KalathCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Riya VishwakarmaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Bhavya BanjanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Krishnapriya RamakrishnanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Abel John KoshyCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Rajesh RajuCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Niyas RehmanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.
Amjesh RevikumarCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, 575018 Karnataka India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liv-52, an herbal formulation consisting of seven distinct plants and Mandur Bhasma, is recognized for its hepatoprotective, anti-inflammatory, and antioxidant properties. To investigate the pharmacological potential of each phytochemical from these plants, we conducted ADMET analysis, molecular docking, and molecular dynamic simulations to identify potent molecules capable of inhibiting the interaction between Alpha-fetoprotein (AFP) and Cysteine aspartyl protease 3 (Caspase-3/CASP3). In our study, we have used molecular docking of all the compounds against AFP and filtered them on the basis of ADME properties. Among the compounds analyzed, (-) Syringaresinol from Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00285-2.

Indexed as

Alpha-fetoproteinHepatocellular carcinomaLiv-52(-) SyringaresinolToxicity

Identifiers

PMID39569037
PMCPMC11574239

What OpenQuestion holds

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Registered trials

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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.