Network pharmacology‐based prediction of the active ingredients, potential targets, and signaling pathways in compound Lian‐Ge granules for treatment of diabetes-Reference-Cited by-同舟云学术

Network pharmacology‐based prediction of the active ingredients, potential targets, and signaling pathways in compound Lian‐Ge granules for treatment of diabetes

Published:2018-10-25 Issue:4 Volume:120 Page:6431-6440
ISSN:0730-2312
Container-title:Journal of Cellular Biochemistry
language:en
Short-container-title:J Cell Biochem

Author:

Xue Jintao¹^ORCID,Shi Yongli¹,Li Chunyan¹²,Song Huijie¹

Affiliation:

1. Department of TCM, School of Pharmacy, Xinxiang Medical University Xinxiang China

2. Experimental Education Center of Biology and Basic Medical Science, Sanquan College of Xinxiang Medical University Xinxiang China

Funder

Henan University

Science and Technology Department of Henan Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcb.27933

Reference34 articles.

1. Exploring the Pharmacological Mechanism of Danzhi Xiaoyao Powder on ER-Positive Breast Cancer by a Network Pharmacology Approach

2. Network Pharmacological Screening of Herbal Monomers that Regulate Apoptosis-Associated Genes in Acute Pancreatitis

3. Computational identification of potential multi-drug combinations for reduction of microglial inflammation in Alzheimer disease

4. Comparative efficacy of pharmacological and non-pharmacological interventions in fibromyalgia syndrome: network meta-analysis

5. TCMSP: a database of systems pharmacology for drug discovery from herbal medicines

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