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D-SCRIPT is a deep learning method for predicting a physical interaction between two proteins given just their sequences. It generalizes well to new species and is robust to limitations in training data size.

Sep 17, 2021 · Our method, D-SCRIPT, leverages advances in deep language models to map protein sequences to implicit structure representations and predict interaction between two proteins based …

D-SCRIPT is a deep learning method for predicting a physical interaction between two proteins given just their sequences. It generalizes well to new species and is robust to limitations in training data size.

D-SCRIPT is a deep learning method for predicting a physical interaction between two proteins given just their sequences. It generalizes well to new species and is robust to limitations in training data size.

We introduce a new deep learning method, D-SCRIPT, for predicting whether two proteins physically interact (binary label) in the cell, based solely on their amino acid sequences.

Oct 20, 2021 · We apply D-SCRIPT to screen for PPIs in cow (Bos taurus) at a genome-wide scale and focusing on rumen physiology, identify functional gene modules related to metabolism and immune …

Oct 11, 2025 · D-SCRIPT is a powerful tool for high-throughput inference of protein–protein interactions (PPIs), but it is expensive in time and memory to infer all PPIs for network-/proteome-level analyses.

# D-SCRIPT is a deep learning method for predicting a physical interaction between two proteins given just their sequences. # It generalizes well to new species and is robust to limitations in training data …

This page provides a comprehensive overview of the D-SCRIPT model architecture for protein-protein interaction (PPI) prediction. D-SCRIPT (Deep Sequence-based Contact Residue Interaction …