Use of Natural Products as Chemical Library for Drug Discovery and Network Pharmacology

被引:265
作者
Gu, Jiangyong [1 ]
Gui, Yuanshen [1 ,2 ]
Chen, Lirong [1 ]
Yuan, Gu [1 ]
Lu, Hui-Zhe [1 ,2 ]
Xu, Xiaojie [1 ]
机构
[1] Peking Univ, Coll Chem & Mol Engn, State Key Lab Rare Earth Mat Chem & Applicat, Beijing Natl Lab Mol Sci, Beijing 100871, Peoples R China
[2] China Agr Univ, Inst Sci & Technol, Beijing 100094, Peoples R China
关键词
TRADITIONAL CHINESE MEDICINE; DATABASE; SPACE; EXPLORATION; DIVERSITY; ORIGIN; BEAUTY; CANCER;
D O I
10.1371/journal.pone.0062839
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Natural products have been an important source of lead compounds for drug discovery. How to find and evaluate bioactive natural products is critical to the achievement of drug/lead discovery from natural products. Methodology: We collected 19,7201 natural products structures, reported biological activities and virtual screening results. Principal component analysis was employed to explore the chemical space, and we found that there was a large portion of overlap between natural products and FDA-approved drugs in the chemical space, which indicated that natural products had large quantity of potential lead compounds. We also explored the network properties of natural product-target networks and found that polypharmacology was greatly enriched to those compounds with large degree and high betweenness centrality. In order to make up for a lack of experimental data, high throughput virtual screening was employed. All natural products were docked to 332 target proteins of FDA-approved drugs. The most potential natural products for drug discovery and their indications were predicted based on a docking score-weighted prediction model. Conclusions: Analysis of molecular descriptors, distribution in chemical space and biological activities of natural products was conducted in this article. Natural products have vast chemical diversity, good drug-like properties and can interact with multiple cellular target proteins.
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页数:10
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