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DrugGEN

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osbm commited on Jul 19, 2023

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67ff5ac

1 Parent(s): 99c16c0

Update app.py

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app.py CHANGED Viewed

@@ -98,7 +98,6 @@ Select a model to make inference (DrugGEN-Prot and DrugGEN-CrossLoss models desi
 - **DrugGEN-CrossLoss**: composed of one GAN, the input of the GAN1 generator is the real molecules dataset and the GAN1 discriminator compares the generated molecules with the real inhibitors of the given target.
 - **DrugGEN-NoTarget**: composed of one GAN, focuses on learning the chemical properties from the ChEMBL training dataset, no target-specific generation.
             '''
-            ",
             ('DrugGEN-Prot', 'DrugGEN-CrossLoss', 'DrugGEN-NoTarget')
         )

 - **DrugGEN-CrossLoss**: composed of one GAN, the input of the GAN1 generator is the real molecules dataset and the GAN1 discriminator compares the generated molecules with the real inhibitors of the given target.
 - **DrugGEN-NoTarget**: composed of one GAN, focuses on learning the chemical properties from the ChEMBL training dataset, no target-specific generation.
             '''
             ('DrugGEN-Prot', 'DrugGEN-CrossLoss', 'DrugGEN-NoTarget')
         )