Open Access<p>Prediction of Targets of Curculigoside A in Osteoporosis and Rheumatoid Arthritis Using Network Pharmacology and Experimental Verification</p>
Author(s) -
Jiawen Han,
Minjie Wan,
Zhanchuan Ma,
Cong Hu,
Huanfa Yi
Publication year - 2020
Publication title -
drug design, development and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.964
H-Index - 64
ISSN - 1177-8881
DOI - 10.2147/dddt.s282112
Subject(s) - druggability , systems pharmacology , kegg , mechanism (biology) , computational biology , osteoporosis , signal transduction , pharmacology , biology , bioinformatics , drug , gene , transcriptome , gene expression , microbiology and biotechnology , genetics , endocrinology , philosophy , epistemology
Network pharmacology is considered to be the next-generation drug development model that uses bioinformatics to predict and identify multiple drug targets and interactions in diseases. Here, network pharmacology was used to investigate the mechanism by which Curculigoside A (CA) acts in rheumatoid arthritis (RA) and osteoporosis.