Model-DMS_YAP1_HUMAN-35M

Base model: westlake-repl/SaProt_35M_AF2

Model Card for Model ID

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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 YAP1_HUMAN (Transcriptional coactivator YAP1).

Protein Function

Transcriptional regulator with dual roles as a coactivator and corepressor. Critical downstream regulatory target in the Hippo signaling pathway, crucial for organ size control and tumor suppression by restricting proliferation and promoting apoptosis.

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 negative infinity to positive infinity. The value of wildtype mutant is 1, larger value means higher fitness.

Model input type

Amino acid sequence

Performance

0.82 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: 100

batch size: 2

precision: 16-mixed