2023
DOI: 10.3389/fphar.2023.1147360
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Study on the mechanism of action of colchicine in the treatment of coronary artery disease based on network pharmacology and molecular docking technology

Abstract: Objective: This is the first study to explore the mechanism of colchicine in treating coronary artery disease using network pharmacology and molecular docking technology, aiming to predict the key targets and main approaches of colchicine in treating coronary artery disease. It is expected to provide new ideas for research on disease mechanism and drug development.Methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Swiss Target Prediction and PharmMapper databases… Show more

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Cited by 2 publications
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“…According to the chemical name "regorafenib" and the CAS number "755037-03-7″, the structural formula was obtained by searching the PubChem database 29 (https://pubchem.ncbi.nlm.nih.gov/). Subsequently, related targets for regorafenib were identified from the Swiss Target Prediction database, 30 the PharmMapper database (http://www.lilab-ecust.cn/pharmmapper/), and the Comparative Toxicogenomics Database 31 (CTD, https:// ctdbase.org/). Finally, gene names were normalized based on the species "Homo sapiens" in the UniProt database 32 (https:// www.uniprot.org/).…”
Section: Screening Potential Targets Of Regorafenib Andmentioning
confidence: 99%
“…According to the chemical name "regorafenib" and the CAS number "755037-03-7″, the structural formula was obtained by searching the PubChem database 29 (https://pubchem.ncbi.nlm.nih.gov/). Subsequently, related targets for regorafenib were identified from the Swiss Target Prediction database, 30 the PharmMapper database (http://www.lilab-ecust.cn/pharmmapper/), and the Comparative Toxicogenomics Database 31 (CTD, https:// ctdbase.org/). Finally, gene names were normalized based on the species "Homo sapiens" in the UniProt database 32 (https:// www.uniprot.org/).…”
Section: Screening Potential Targets Of Regorafenib Andmentioning
confidence: 99%