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@@ -36,7 +36,7 @@ pp. 1256–1264.
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  - **Developers:** IBM Research
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  - **GitHub Repository:** https://github.com/BiomedSciAI/biomed-multi-alignment
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  - **Paper:** https://arxiv.org/abs/2410.22367
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- - **Release Date**: Dec 4th, 2024
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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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  ## Usage
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  A simple example for using `ibm/omics.bl.sm.ma-ted-458m.moleculenet_clintox_fda`:
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- ```
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  from mammal.examples.molnet.molnet_infer import load_model, task_infer
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  smiles_seq = "C(Cl)Cl"
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  print(f"The prediction for {smiles_seq=} is {result}")
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  ```
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- See our detailed example at: on `https://github.com/BiomedSciAI/biomed-multi-alignment`
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  ## Citation
 
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  - **Developers:** IBM Research
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  - **GitHub Repository:** https://github.com/BiomedSciAI/biomed-multi-alignment
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  - **Paper:** https://arxiv.org/abs/2410.22367
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+ - **Release Date**: Oct 28th, 2024
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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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  ## Usage
 
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  A simple example for using `ibm/omics.bl.sm.ma-ted-458m.moleculenet_clintox_fda`:
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+ ```python
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  from mammal.examples.molnet.molnet_infer import load_model, task_infer
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  smiles_seq = "C(Cl)Cl"
 
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  print(f"The prediction for {smiles_seq=} is {result}")
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  ```
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+ See our detailed example at: `https://github.com/BiomedSciAI/biomed-multi-alignment`
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  ## Citation