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SaProtHub/Model-tm9d8s_fitness-35M
Model-tm9d8s_fitness-35M is a machine learning model from SaProtHub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
This model is used to predict fitness of mutant β-subunit of tryptophan synthase (TrpB). TrpB synthesizes L-tryptophan (Trp) from indole and L-serine (Ser). TrpB variant Tm9D8, derived from the hyperthermophile Thermo…
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From the Hugging Face model README
This model is used to predict fitness of mutant β-subunit of tryptophan synthase (TrpB). TrpB synthesizes L-tryptophan (Trp) from indole and L-serine (Ser). TrpB variant Tm9D8*, derived from the hyperthermophile Thermotoga maritima, was selected as the parent enzyme. Tm9D8* differs from wildtype TmTrpB by ten amino acid substitutions (P19G, E30G, I69V, K96L, P140L, N167D, I184F, L213P, G228S, and T292S).
protein level regression
The dataset is from A combinatorially complete epistatic fitness landscape in an enzyme active site.
The dataset can also be found at SaProtHub dataset.
Label means mutation fitness, here represents growth rate of E. coli strain. The maximum fitness is 1, the closer to 1, the better fitness.
Amino acid sequence
test_pearson: 0.93
test_spearman: 0.38
lora_dropout: 0.0
lora_alpha: 16
target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
modules_to_save: ["classifier"]
class: AdamW
betas: (0.9, 0.98)
weight_decay: 0.01
learning rate: 5e-4
epoch: 100
batch size: 100
precision: 16-mixed