Evidence map›Paper›PMID 37850546›Full record

ArticleCurrent computer-aided drug design2024

Optimizing the Extraction of Polyphenols from the Bark of

Tathagata Adhikary, Piyali Basak

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Article in Current computer-aided drug design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 65% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

2 authors at 1 institution in 1 country.

Tathagata AdhikarySchool of Bioscience and Engineering, Jadavpur University, Kolkata, 700032, India.
Piyali BasakSchool of Bioscience and Engineering, Jadavpur University, Kolkata, 700032, India.
Jadavpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interconnection between different fields of research has gained interest due to its cutting-edge perspectives in solving scientific problems.

objectivesEfficient ultrasound-assisted extraction of phytochemicals from the bark of MATERIALS AND

methodsA three-level four-factor Box-Behnken design is exploited to optimize four operational parameters, namely extraction time, ultrasonic power, ethanol concentration (as the extracting solvent) and solute (in g): solvent (in mL) ratio. At the optimum parametric condition, the crude extract is obtained, and its GC-MS analysis is carried out. An analysis of network pharmacology (by constructing and visualizing biological networks using Cytoscape) combined with molecular docking reveals the potential antineoplastic targets of the crude extract.

resultsThe ANOVA table exhibits the significance, adequacy and reliability of the proposed second-order polynomial model with the R² value of 0.917 and adjusted R² of 0.865. Experimental results portray the significant antioxidant potential of the prepared extract in its crude form. The GC-MS analysis of the crude extract predicts the extracted phytochemicals, while the constructed biological networks highlight its multi-targeted activity in colorectal cancer.

conclusionThe study identifies three phytochemicals

Indexed as

Antineoplastic Agents, PhytogenicColorectal NeoplasmsMolecular Docking SimulationPlant BarkPlant ExtractsPolyphenolsTerminaliaAntioxidantsComputer SimulationHumansPhytochemicalsAntineoplastic Agents, PhytogenicAntioxidantsPhytochemicalsPlant ExtractsPolyphenolsantioxidantbox-behnkencolorectalmolecular docking.Network pharmacologyoptimizationpolyphenolTerminalia arjuna

Identifiers

PMID37850546
OpenAlexW4387728949

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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.