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Base model: westlake-repl/SaProt_35M_AF2

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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 AsCas12f.

Protein Function

AsCas12a is widely utilized as genome-editing tools in human cells.

Task type

protein level regression

Dataset description

The dataset is from An AsCas12f-based compact genome-editing tool derived by deep mutational scanning and structural analysis.

Label means fitness score of each mutant amino acid sequence. Ranging from negative infinity to positive infinity. The wildtype sequence has fitness 1. If the effect larger than 1 represents high fitness, smaller than 1 represents low fitness.

Model input type

Amino acid sequence

Performance

0.60 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: 36

precision: 16-mixed

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