T FC Protein Protein Interaction Predictor Model Description T FC is a sequence based protein–protein interaction (PPI) predictor that uses a Transformer backbone with a last layer MLP. It produces a probability score for whether two proteins interact. This is an ablation of TUnA Intended Use Rapid inference for candidate PPI scoring. These weights can be loaded in from the TUnA R repository on Github. 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 : False use spectral norm : False out targets : 1 Evaluation Results (Test Set) AUROC: 0.69 MCC: 0.27 Accuracy: 0.63 AUPRC: 0.68 Precision: 0.62 Citation If you use this model, please cite: TUnA: https://academic.oup.com/bib/article/25/5/bbae359/7720609 Bernett dataset: https://academic.oup.com/bib/article/25/2/bbae076/7621029 License MIT
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