CADS: Catalyst Acquisition by Data Science
Catalyst Informatics Project | |
Japan | |
Catalyst Acquisition by Data Science (CADS) is an integrated visual platform for materials informatics. It provides three basic functions for users: 1) Data Management: CADS provides data repository, allowing users to share data and analysis reports with collaborators of their choosing. 2) Analysis: It provides data visualization tools (scatter plotting, histograms, etc.) and machine learning functions for catalyst data analysis and machine learning model selection. 3) Prediction: It provides data prediction capabilities with the “Analysis” function, allowing users to apply learning models for predicting new output (e.g. predicting new catalysts). | |
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Chemical compound | |
Interaction/Pathway | |
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English | |
Active | |
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https://cads.eng.hokudai.ac.jp/docs-static/about.html | |
https://cads.eng.hokudai.ac.jp/docs-static/tutorial.html | |
https://cads.eng.hokudai.ac.jp/docs-static/contact.html | |
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Search Tool for Interactions of Chemicals PCI DB Protein-Chemical Structural Interactions toxBridge toxRank NLDB DART TOXLINE GENE-TOX |
Integbio Database Catalog | |
2020-03-31 | |
2020-03-31 | |
Creative Commons CC0 license |