Baselines
2021.09.30 NOTE: we are in the process of recomputing the following results and will update the page shortly
Go to the baselines for the desired set
The following are the baseline methods we evaluated
Levenshtein: Levenshtein distance to wild-type.
BLOSUM62: BLOSUM62-score relative to wild-type.
Ridge regression: Ridge regression model on one-hot encoding.
Convolutional network: Simple convolutional network on one-hot encoding.
ESM-untrained: 750M parameter transformer with randomly-initialized weights
ESM-1b: 750M parameter transformer pretrained on UniRef50.
ESM-1v: 750M parameter transformer pretrained on UniRef90. Only one element of ensemble used due to compute constraints.
GB1
Supplemental baselines
AAV
Supplemental baselines
Thermostability
Supplemental baselines
