Results 251 to 260 of about 337,823 (305)

Integrated Transcriptomics and Network Pharmacology Reveal the Mechanism of Poplar-Type Propolis on the Mouse Mastitis Model. [PDF]

Nutrients
Zhu M, Wei R, Yuan B, Li S, Hu F.
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Exploring the Mahuang Fuzi Xixin Decoction's mechanism for treating Alzheimer's disease using molecular docking and network pharmacology. [PDF]

Front Aging Neurosci
Chen C, Shao Q, Zhou S.
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Decoding the therapeutic potential mechanism of <i>Cornus officinalis</i> in Parkinson's disease: a network pharmacology insight. [PDF]

Front Pharmacol
Wu Z, Zhao J, Wang W, Dong Y, Zhou T, Feng Y, Deng Y, Feng Y.   +7 more
europepmc   +1 more source

Network pharmacology analysis and in vitro experimental validation of liriodenine against non-small cell lung cancer. [PDF]

BMC Cancer
Yang J, Sun Y, Liang F, Shen Z, Zhou Y, Zhu J, Sun W, Xia Y.   +7 more
europepmc   +1 more source

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Information Loss in Network Pharmacology

Molecular Informatics, 2019
AbstractWith the advent of increasing computational power and large‐scale data acquisition, network analysis has become an attractive tool to study the organisation of complex systems and the interrelation of their constituent entities in various scientific domains.
Ingo, Vogt, Jordi, Mestres
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“Network Target” Theory and Network Pharmacology

2021
In the biomedical big data and artificial intelligence era, pioneering interdisciplinary information science research, life science, and medicine are represented by a complex biological network which has attracted increasing attention from researchers.
Shao Li, Qingyang Ding, Xin Wang
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Common Network Pharmacology Databases

2021
Network pharmacology research is set against the background of vast biological databases and artificial intelligence. Traditional Chinese Medicine (TCM) involves ancient manuscripts, documents, and innumerable prescriptions belonging to various dynasties.
Haiyu Xu, Yanqiong Zhang, Feifei Guo
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Drug Repositioning Through Network Pharmacology

Current Topics in Medicinal Chemistry, 2016
Low drug productivity has been a significant problem of the pharmaceutical industry for several decades even though numerous novel technologies were introduced during this period. Currently pharmacologic dogma, "single drug, single target, single disease", is at the root of the lack of drug productivity.
Hao, Ye, Jia, Wei, Kailin, Tang, Ritchie, Feuers, Huixiao, Hong   +4 more
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