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| title: M3Site | |
| emoji: 📉 | |
| colorFrom: indigo | |
| colorTo: indigo | |
| sdk: docker | |
| pinned: true | |
| license: cc-by-4.0 | |
| short_description: 'An interactive demo for M3Site.' | |
| # M<sup>3</sup>Site: Leveraging Multi-Class Multi-Modal Learning for Accurate Protein Active Site Identification and Classification | |
| This an interactive demo for the inference, and the source code of the paper can be found in [Github](). We provide some example `.pdb` files in `case_study` folder. You can use these files to use this demo. Take `A0A384E143.pdb` as an example, the predicted protein active site results using M<sup>3</sup>Site are shown below: | |
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| Besides, you can visualize and analyze the predicted results interactively like below: | |
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