ReviewActa pharmacologica Sinica2015
Diverse array-designed modes of combination therapies in Fangjiomics.
Review in Acta pharmacologica Sinica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Molecular Compatibility in Chinese Medicine for Cancer Treatment and Drug Development: From Traditional Wisdom to Innovative Therapeutics.Chinese journal of integrative medicine · 2026Article
- Milk Antiviral Proteins and Derived Peptides against Zoonoses.International journal of molecular sciences · 2024Review
- Milk Peptides as Novel Multi-Targeted Therapeutic Candidates for SARS-CoV2.The protein journal · 2021Article
- IMCC: A Novel Quantitative Approach Revealing Variation of Global Modular Map and Local Inter-Module Coordination Among Differential Drug's Targeted Cerebral Ischemic Networks.Frontiers in pharmacology · 2021Article
- Integrated Pharmacogenetics Analysis of the Three Fangjis Decoctions for Treating Arrhythmias Based on Molecular Network Patterns.Frontiers in cardiovascular medicine · 2021Article
- Similarity of therapeutic networks induced by a multi-component herbal remedy, Ukgansan, in neurovascular unit cells.Scientific reports · 2020Article
- Ma Xing Shi Gan Decoction Protects against PM2.5-Induced Lung Injury through Suppression of Epithelial-to-Mesenchymal Transition (EMT) and Epithelial Barrier Disruption.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- ETCM: an encyclopaedia of traditional Chinese medicine.Nucleic acids research · 2019Article
- Intermodule Coupling Analysis of Huang-Lian-Jie-Du Decoction on Stroke.Frontiers in pharmacology · 2019Article
- Pure mechanistic analysis of additive neuroprotective effects between baicalin and jasminoidin in ischemic stroke mice.Acta pharmacologica Sinica · 2018Article
- New omic and network paradigms for deep understanding of therapeutic mechanisms for Fangji of traditional Chinese medicine.Acta pharmacologica Sinica · 2018Article
- Yangxin Tongmai Formula ameliorates impaired glucose tolerance in children with Graves' disease through upregulation of the insulin receptor levels.Acta pharmacologica Sinica · 2018Article
- Development of Fangjiomics for Systems Elucidation of Synergistic Mechanism Underlying Combination Therapy.Computational and structural biotechnology journal · 2018Review
- Network-Wide Screen Identifies Variation of Novel Precise On-Module Targets Using Conformational Modudaoism.CPT: pharmacometrics & systems pharmacology · 2018Article
- Entropy-based divergent and convergent modular pattern reveals additive and synergistic anticerebral ischemia mechanisms.Experimental biology and medicine (Maywood, N.J.) · 2016Article
- Fangjiomics: revealing adaptive omics pharmacological mechanisms of the myriad combination therapies to achieve personalized medicine.Acta pharmacologica Sinica · 2015Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
In line with the complexity of disease networks, diverse combination therapies have been demonstrated potential in the treatment of different patients with complex diseases in a personal combination profile. However, the identification of rational, compatible and effective drug combinations remains an ongoing challenge. Based on a holistic theory integrated with reductionism, Fangjiomics systematically develops multiple modes of array-designed combination therapies. We define diverse "magic shotgun" vertical, horizontal, focusing, siege and dynamic arrays according to different spatiotemporal distributions of hits on targets, pathways and networks. Through these multiple adaptive modes for treating complex diseases, Fangjiomics may help to identify rational drug combinations with synergistic or additive efficacy but reduced adverse side effects that reverse complex diseases by reconstructing or rewiring multiple targets, pathways and networks. Such a novel paradigm for combination therapies may allow us to achieve more precise treatments by developing phenotype-driven quantitative multi-scale modeling for rational drug combinations.
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