title: [Framework and practice of network-based studies for Chinese herbal formula].
abstract: The ZHENG (syndrome of traditional Chinese medicine) oriented effects and the multiple-targets' mechanism are the main challenges encountered by recent researches for Chinese herbal formula. Using methods of bioinformatics and systems biology, we proposed a biological network-based framework for understanding the mechanism of Chinese herbal formula, and reviewed our studies under this framework which aimed to explore the relationship between Chinese herbal formula and corresponding ZHENGs, as well as the synergism of herbal combinations. These studies include the network construction for cold or heat ZHENG and its relationship with herbal formula of hot or cold nature, the biological network construction of angiogenesis, and the network regulation-based emergent property of an herbal combination with anti-angiogenesis synergism extracting from the cold formula. It is shown that the ZHENG-oriented effects and the herbal synergism can be nicely explicated by such network-based approaches. Thus, the network-based drug combination discovery, as well as the "traditional Chinese medicine bioinformatics (TCMB)" and "TCM computational systems biology" combining with computational and experimental approaches, is conceivable and can open a new avenue for understanding Chinese herbal formula.
authors.forename: Shao
authors.initials: S
authors.lastname: Li
mesh_terms: D019295:Computational Biology / Q000379:methods; D003937:Diagnosis, Differential; D004338:Drug Combinations; D011307:Drug Prescriptions / Q000592:standards*; D004365:Drugs, Chinese Herbal / Q000592:standards*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D016571:Neural Networks, Computer; D049490:Systems Biology / Q000379:methods
chemical_list: D004338:Drug Combinations; D004365:Drugs, Chinese Herbal