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yk0/
tuna-r-tuna

Name: tuna-r-tuna
Availability: InStock

pytorch

protein-protein-interaction

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TUnA Protein-Protein Interaction Predictor

Model Description

TUnA is a sequence-based protein–protein interaction (PPI) predictor that uses a Transformer backbone with a last-layer Gaussian process (LLGP). It produces a probability score for whether two proteins interact.

Intended Use

Research use for PPI prediction and representation learning.
Rapid inference for candidate PPI scoring.

Training Data

Trained on the Bernett dataset (https://academic.oup.com/bib/article/25/2/bbae076/7621029) composed of Human PPI interactions.

Model Architecture

Backbone: tuna.models._transformer.Transformer

protein_dim: 640
hid_dim: 64
ff_dim: 256
n_layers: 1
n_heads: 8
dropout: 0.2
llgp: True
use_spectral_norm: True
out_targets: 1
gp_config:
- rff_features: 4096
- gp_cov_momentum: -1
- gp_ridge_penalty: 1
- likelihood: "binary_logistic"

Evaluation Results (Test Set)

AUROC: 0.70
AUPRC: 0.68
Accuracy: 0.65
MCC: 0.294
Precision: 0.65

yk0/
tuna-r-tuna

TUnA Protein-Protein Interaction Predictor

Model Description

Intended Use

Training Data

Model Architecture

Evaluation Results (Test Set)

Citation

License

yk0/tuna-r-tuna

TUnA Protein-Protein Interaction Predictor

Model Description

Intended Use

Training Data

Model Architecture

Evaluation Results (Test Set)

Citation

License

yk0/
tuna-r-tuna