Base model: westlake-repl/SaProt_35M_AF2
Model Card for Model ID
This model is trained on a sigle site deep mutation scanning dataset and can be used to predict fitness score of mutant amino acid sequence of protein BLAT_ECOLX (Beta-lactamase TEM).
Protein Function
TEM-type are the most prevalent beta-lactamases in enterobacteria; they hydrolyze the beta-lactam bond in susceptible beta-lactam antibiotics, thus conferring resistance to penicillins and cephalosporins.
Task type
protein level regression
Dataset description
The dataset is from Deep generative models of genetic variation capture the effects of mutations. And can also be found on SaprotHub dataset.
Label means fitness score of each mutant amino acid sequence, ranging from 0 to positive infinity where 1 is the value of wildtype, larger than 1 means higher fitness than wildtype.
Model input type
Amino acid sequence
Performance
0.80 Spearman's ρ
LoRA config
lora_dropout: 0.0
lora_alpha: 16
target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
modules_to_save: ["classifier"]
Training config
class: AdamW
betas: (0.9, 0.98)
weight_decay: 0.01
learning rate: 1e-4
epoch: 50
batch size: 64
precision: 16-mixed
- Downloads last month
- 2
Model tree for SaProtHub/Model-DMS_BLAT_ECOLX-35M
Base model
westlake-repl/SaProt_35M_AF2