Titlebook: Network Pharmacology; Shao Li Book 2021 Tsinghua University Press 2021 Network Pharmacology.artificial intelligence.modernization of Tradi

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Complement

Application of Network Pharmacology Based on Artificial Intelligence Algorithms in Drug Developmentmacological research. This chapter briefly introduces artificial intelligence algorithms and their applications in network pharmacology research, and provides references for researchers to better understand and apply artificial intelligence.

冲击力

Common Network Pharmacology Databases, databases provide valuable input and resources, which are not only instrumental for the comprehension of the TCM treatment mechanism for diseases but also strengthen the understanding of TCM theories.

PLIC

,Common Network Pharmacology Software,rall functional flow of network pharmacology-related software or programs and illustrates demonstrative application examples by combining actual data processing, analysis, and visualization operations. The practical steps and contents in this chapter, combined with the theoretical analysis, analysis

GRIEF

Network Pharmacology and Modern Drug R&D Cases,s (molecules, cells, tissues, organs, and phenotypes) has given a boost to cognition of the biological mechanisms of complex diseases, the systemic mechanism of the impact of drugs, and the development of multi-target, multi-component drugs. This chapter selects some exceptional results of network p

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烦人

Case Study of Network Pharmacology and Modernization of Traditional Chinese Medicine,Pioneering work in the early stages [1, 2] on network pharmacology and integration of TCM theory and modern chemistry, systems biology, and information science has resulted in modernization of TCM. Network pharmacology has developed rapidly in the past 10 years and is on the rise. As a result several high quality academic achievements have emerged.

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