Protein Design on AAV (test)
5.232Best ScoreQ-BioLat
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Q-BioLatTrain size=1000, Representation=PCA, Optimizer=GHC, Latent dim=642026.03 | 5.232 | 2.962 | |
| Q-BioLatTrain size=10000, Representation=PCA, Optimizer=GA, Latent dim=642026.03 | 4.541 | 2.091 | |
| Q-BioLatTrain size=2000, Representation=Random, Optimizer=GHC, Latent dim=322026.03 | 4.184 | -2.674 | |
| Q-BioLatTrain size=1000, Representation=Random, Optimizer=GHC, Latent dim=642026.03 | 4.066 | -1.557 | |
| Q-BioLatTrain size=5000, Representation=PCA, Optimizer=SA, Latent dim=642026.03 | 3.999 | 2.249 | |
| Q-BioLatTrain size=2000, Representation=PCA, Optimizer=RS, Latent dim=322026.03 | 2.866 | 0.349 | |
| Q-BioLatTrain size=5000, Representation=Random, Optimizer=GA, Latent dim=642026.03 | 2.548 | -1.15 | |
| Q-BioLatTrain size=10000, Representation=Random, Optimizer=LBO, Latent dim=162026.03 | 1.197 | -4.205 |