Combining bioinformatics, network pharmacology, and artificial intelligence to predict the mechanism of resveratrol in the treatment of rheumatoid arthritis

Nine KT-genes were identified and validated as the most potential therapeutic targets in the treatment of RA with resveratrol, which provide new insights into therapeutic mechanisms and may improve the efficiency of drug development.

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Publication Details

Journal
Heliyon
Published
2024-09-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e37371
Citations
7
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
3.29
Controls
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article

Combining bioinformatics, network pharmacology, and artificial intelligence to predict the mechanism of resveratrol in the treatment of rheumatoid arthritis

Haohan Huang, Dongsheng Li, Piaoqi Zeng
7 citations
Heliyon
Rheumatoid Arthritis Research and Therapies
3.29
article

Combining bioinformatics, network pharmacology, and artificial intelligence to predict the mechanism of resveratrol in the treatment of rheumatoid arthritis

Haohan Huang, Dongsheng Li, Piaoqi Zeng
article en
7 citations

Abstract

Nine KT-genes were identified and validated as the most potential therapeutic targets in the treatment of RA with resveratrol, which provide new insights into therapeutic mechanisms and may improve the efficiency of drug development.

HeliyonVol. 10(18)
Second Military Medical University (CN), Ganzhou People's Hospital (CN), Shanghai Pudong New Area Gongli Hospital (CN)
Zero hunger
Openalex Percentile: Top 8%
Rheumatoid Arthritis Research and Therapies
3.29
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