机构:[1]The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, China广东省中医院中药物质基础研究团队科研人事处大德路总院[2]Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China广东省中医院
BackgroundQuantitative systems pharmacology (QSP) is an emerging discipline that integrates diverse data to quantitatively explore the interactions between drugs and multi-scale systems including small compounds, nucleic acids, proteins, pathways, cells, organs and disease processes.ResultsVarious computational methods such as ADME/Tevaluation, molecular modeling, logical modeling, network modeling, pathway analysis, multi-scale systems pharmacology platforms and virtual patient for QSP have been developed. We reviewed the major progresses and broad applications in medical guidance, drug discovery and exploration of pharmacodynamic material basis and mechanism of traditional Chinese medicine.ConclusionQSP has significant achievements in recent years and is a promising approach for quantitative evaluation of drug efficacy and systematic exploration of mechanisms of action of drugs.
基金:
start-up support for scientific research of Xinglin Young Scholar in Guangzhou University of Chinese Medicine [A1-AFD018161Z04]
第一作者机构:[1]The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, China[2]Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
通讯作者:
通讯机构:[1]The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, China[2]Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
推荐引用方式(GB/T 7714):
Xie Fuda,Gu Jiangyong.Computational methods and applications for quantitative systems pharmacology[J].QUANTITATIVE BIOLOGY.2019,7(1):3-16.doi:10.1007/s40484-018-0161-6.
APA:
Xie, Fuda&Gu, Jiangyong.(2019).Computational methods and applications for quantitative systems pharmacology.QUANTITATIVE BIOLOGY,7,(1)
MLA:
Xie, Fuda,et al."Computational methods and applications for quantitative systems pharmacology".QUANTITATIVE BIOLOGY 7..1(2019):3-16