SARS-CoV-2 related
Collection
This collection contains some models and datasets about SARS-CoV-2, including deep mutation scanning (DMS) data of some important variants. • 10 items • Updated • 1
Base model: westlake-repl/SaProt_35M_AF2
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This model is used to predict interaction of antigen-variable domain of heavy chain of heavy chain antibody (VHH) with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins.
This model is trained on Alpha variants, thus can only be used to pridict interaction with Alpha variants.
Task type
protein level classification
Dataset description
The dataset is from COGNANO/AVIDa-SARS-CoV-2.
We collect all amino acid sequences whose antigen type is Alpha varitant.
Binary label represented by 1 for the binding pair and 0 for the non-binding pair.
Model input type
Amino acid sequence
Performance
test_acc: 0.95
test_loss: 0.32
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: 10
batch size: 200
precision: 16-mixed
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Base model
westlake-repl/SaProt_35M_AF2