Understanding dosage effects of traditional Chinese medicine using network analysis

Our study demonstrated that dosage significantly influences the outcomes of network analysis, with Dedis serving as a reliable indicator of whether such changes would occur. Specifically, changes resulting from dosage-dependent refinement of both drug target prediction and pathway analysis were observed.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2025-05-08
DOI
https://doi.org/10.3389/fphar.2025.1534129
Primary Topic
Pharmacological Effects of Natural Compounds
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding dosage effects of traditional Chinese medicine using network analysis

Dianjing Guo, Jiawei Wu
Frontiers in Pharmacology
Pharmacological Effects of Natural Compounds
article

Understanding dosage effects of traditional Chinese medicine using network analysis

Dianjing Guo, Jiawei Wu
article en

Abstract

Our study demonstrated that dosage significantly influences the outcomes of network analysis, with Dedis serving as a reliable indicator of whether such changes would occur. Specifically, changes resulting from dosage-dependent refinement of both drug target prediction and pathway analysis were observed.

Frontiers in PharmacologyVol. 16
Chinese University of Hong Kong (HK)
Chinese University of Hong Kong, State Key Laboratory for Agrobiotechnology
Openalex Percentile: Top 87%
Pharmacological Effects of Natural Compounds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.