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Model-ACE2_Omicron_XBB.1.5_binding_affinity-35M – AI Model by SaProtHub | AlphaNeural AI
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Model-ACE2_Omicron_XBB.1.5_binding_affinity-35M
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westlake-repl/SaProt_35M_AF2
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westlake-repl/SaProt_35M_AF2
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This model is used to predict ACE2 binding affinities with mutant SARSCoV-2 Omicron XBB.1.5 variants spike receptor-binding domain (RBD).
Task type
protein level regression
Dataset description
The dataset is from
Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARSCoV-2 evolution
.
Label means binding affinities level, ranging from minus infinity to positive infinity. Zero means no affinity, lager means higher affinity and smaller means lower affinity.
Model input type
Amino acid sequence
Performance
0.71 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: 100
precision: 16-mixed