Since its launch in 2013, TCMSP 1.0 has served over a million traditional Chinese medicine researchers worldwide, becoming the de facto standard database cited in virtually each network(system) pharmacology paper (Ru et al., J Cheminformatics, 2014). A decade of honing, and the sword is finally drawn. The original team has completely rebuilt TCMSP into a next-generation of AI research platform — now covering approximately 2,400,000 compounds, 600,787 natural medicinal resources — including 478,652 plants, 46,318 animals, 31,247 marine organisms, 24,583 microorganisms, 17,892 bacteria, and 2,095 minerals — 29,490 disease entities, 66,800 targets, approximately 140 million disease-target relationships, and 2 billion molecule-target interactions — with analytical capabilities grown from zero to over a hundred tools. Our dedication to the systems pharmacology of traditional Chinese medicine, however, has never changed.

TCMSP 1.0（Old Version）

Key Features

• 1.Data Retrieval Yes
• 2.Ingredient Screening No
• 3.Network Construction No
• 4.PPI/Enrichment No
• 5.ADMET Prediction No
• 6.Target Prediction No
• 7.Molecular Docking No
• 8.Single-cell Analysis No
• 9.Literature Validation No
• 10.Manuscript Generation No

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TCMSP 9.0.1（New Version）

Key Features

• 1.Data Retrieval Yes
• 2.Ingredient Screening Yes
• 3.Network Construction Yes
• 4.PPI/Enrichment Yes
• 5.ADMET Prediction Yes
• 6.Target Prediction Yes
• 7.Molecular Docking Yes
• 8.Single-cell Analysis Yes
• 9.Literature Validation Yes
• 10.Manuscript Generation Yes

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