
Descript – AI Video & Podcast Editor | Free, Online
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GitHub - samsledje/D-SCRIPT: A structure-aware interpretable deep ...
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: Deep Learning PPI Prediction — D-SCRIPT v0.3.0 …
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.
samsledje/D-SCRIPT | DeepWiki
May 20, 2025 · What is D-SCRIPT? D-SCRIPT is a structure-aware deep learning method that predicts physical interactions between proteins based solely on their amino acid sequences.
D-SCRIPT
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.
Dscript - A collision of Science & Art
Dimensional Script is a 2D writing system which allows words to be compressed into symbols. The symbols can take many forms while still being legible in both letters and sequence. Dscript for …
D-SCRIPT translates genome to phenome with sequence-based, …
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 …
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.
Installation — D-SCRIPT v0.3.0 documentation
The simplest way to install D-SCRIPT is via pip. This will install the latest version from PyPI. If you want to build D-SCRIPT for source or contribute to development, you can follow the below instructions. …
D-SCRIPT translates genome to phenome with sequence-based, …
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 …