Uncovering disease-disease relationships through the incomplete interactome. Scale-Free Networks: A Decade and Beyond. Collective Dynamics of Small World Networks. Network medicine: a network-based approach to human disease. Network pharmacology: the next paradigm in drug discovery. The practical steps and contents in this chapter, combined with the theoretical analysis, analysis methods, and research cases of network pharmacology in other chapters, can provide researchers or students with relevant software tools and practical operation methods that can be used for reference, as well as provide rapid and convenient software tool selection and practical guidance for actual research on network pharmacology. From the perspective of information processing and computer systems, this chapter classifies and introduces commonly used network pharmacology software by refining the overall functional flow of network pharmacology-related software or programs and illustrates demonstrative application examples by combining actual data processing, analysis, and visualization operations. ![]() ![]() In addition to emerging new methods and technologies, a large number of analytical techniques and methods, such as network analysis and molecular functional analysis have matured into related software or programs and are available for researchers to use for free or available as open source, which is an important factor and condition that has helped network pharmacology’s robust and rapid development. ![]() As a growing trend in current pharmacology research and an important medical application in network science research, network pharmacology has become an indispensable complement to traditional pharmacology research with the immense accumulation and integration of large-scale pharmacology and disease molecular network data.
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