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| title: README |
| emoji: 🧬 |
| colorFrom: green |
| colorTo: blue |
| sdk: static |
| pinned: false |
| short_description: Organization card for MORAD |
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| # MORAD |
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| **Reinforcement Learning with Multi-Objective Rewards for RNA Inverse Design** |
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| MORAD post-trains a single backbone-conditioned RNA diffusion policy online with |
| a six-objective reward covering tertiary geometry, base pairing, ensemble |
| behavior and sequence composition. The trained policy designs sequences for a |
| new target backbone directly, with no per-target optimization. |
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| | 🧬 [**MORAD-RIDE**](https://huggingface.co/MORAD-RNA/MORAD-RIDE) | the released model, post-trained from pretrained RIDE | |
| | 📦 [**MORAD-Targets**](https://huggingface.co/datasets/MORAD-RNA/MORAD-Targets) | 527 training and 153 test RNA backbone targets | |
| | 💻 [**Code**](https://github.com/Gabrile166/MORAD) | training, evaluation and reproduction scripts | |
| | 🌐 [**Project page**](https://gabrile166.github.io/MORAD/) | overview, method and results | |
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