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Therapeutics Data Commons
\n\n\n[**Nature Chemical Biology Paper**](https://www.nature.com/articles/s41589-022-01131-2) | [**NeurIPS Paper**](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/4c56ff4ce4aaf9573aa5dff913df997a-Abstract-round1.html) | [**GitHub**](https://github.com/mims-harvard/TDC) | [**Leaderboards**](https://tdcommons.ai/benchmark/overview/) | [**Datasets**](https://tdcommons.ai/overview/)\n\n[](https://twitter.com/ProjectTDC)\n\nArtificial intelligence is poised to enable breakthroughs and discoveries in therapeutic science. Therapeutics Data Commons is a global initiative to access and evaluate artificial intelligence capability across therapeutic modalities and stages of discovery. The Commons is a resource with AI-solvable tasks, AI-ready datasets, and curated benchmarks, providing an ecosystem of tools, libraries, leaderboards, and community resources, including data functions, strategies for systematic model evaluation, meaningful data splits, data processors, and molecule generation oracles.\n\n
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Therapeutics Commons website
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\n from tdc.single_pred import ADME\n data = ADME(name = 'HIA_Hou')\n split = data.get_split(method = 'scaffold')\n data.get_data(format = 'df')\n \n Retrieve AI tasks, data functions, model evaluators and benchmarks
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\n Find all Therapeutics Commons models in the Hub
\n \n \n \n More information: Therapeutics Commons Slack Workspace, Release News\n
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\n\n\nNature Chemical Biology Paper | NeurIPS Paper | GitHub | Leaderboards | Datasets
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\nArtificial intelligence is poised to enable breakthroughs and discoveries in therapeutic science. Therapeutics Data Commons is a global initiative to access and evaluate artificial intelligence capability across therapeutic modalities and stages of discovery. The Commons is a resource with AI-solvable tasks, AI-ready datasets, and curated benchmarks, providing an ecosystem of tools, libraries, leaderboards, and community resources, including data functions, strategies for systematic model evaluation, meaningful data splits, data processors, and molecule generation oracles.
\n\n \n More information: Therapeutics Commons Slack Workspace, Release News\n
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Nature Chemical Biology Paper | NeurIPS Paper | GitHub | Leaderboards | Datasets
Artificial intelligence is poised to enable breakthroughs and discoveries in therapeutic science. Therapeutics Data Commons is a global initiative to access and evaluate artificial intelligence capability across therapeutic modalities and stages of discovery. The Commons is a resource with AI-solvable tasks, AI-ready datasets, and curated benchmarks, providing an ecosystem of tools, libraries, leaderboards, and community resources, including data functions, strategies for systematic model evaluation, meaningful data splits, data processors, and molecule generation oracles.
More information: Therapeutics Commons Slack Workspace, Release News
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