Evidence map›Paper›PMID 35631398›Full record

ReviewPharmaceuticals (Basel, Switzerland)2022

Network Pharmacology Approach for Medicinal Plants: Review and Assessment.

Fatima Noor, Muhammad Tahir Ul Qamar, Usman Ali Ashfaq, Aqel Albutti, Ameen S S Alwashmi, Mohammad Abdullah Aljasir

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed, 2 pooled it
–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

203 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Chinese herbal medicines · 2026
    Review

143 more citing papers are in PubMed but not listed here.

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

6 authors.

Fatima NoorDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan.
Muhammad Tahir Ul QamarDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan.ORCID 0000-0003-4832-4250
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan.ORCID 0000-0002-5495-805X
Aqel AlbuttiDepartment of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0001-8697-5340
Ameen S S AlwashmiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0002-7290-8945
Mohammad Abdullah AljasirDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0002-3708-9200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products have played a critical role in medicine due to their ability to bind and modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive scaffolds for the treatment of multiple disorders. The less adverse effects, affordability, and easy accessibility highlight their potential in traditional remedies. Identifying pharmacological targets from active ingredients of medicinal plants has become a hot topic for biomedical research to generate innovative therapies. By developing an unprecedented opportunity for the systematic investigation of traditional medicines, network pharmacology is evolving as a systematic paradigm and becoming a frontier research field of drug discovery and development. The advancement of network pharmacology has opened up new avenues for understanding the complex bioactive components found in various medicinal plants. This study is attributed to a comprehensive summary of network pharmacology based on current research, highlighting various active ingredients, related techniques/tools/databases, and drug discovery and development applications. Moreover, this study would serve as a protocol for discovering novel compounds to explore the full range of biological potential of traditionally used plants. We have attempted to cover this vast topic in the review form. We hope it will serve as a significant pioneer for researchers working with medicinal plants by employing network pharmacology approaches.

Indexed as

active ingredientsdrug discoverymedicinal plantsnetwork pharmacologysystem biology

Identifiers

PMID35631398
PMCPMC9143318

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.