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🧭 Overview

DeepTMInter is a deep learning framework for accurately predicting interaction sites in α-helical transmembrane proteins using sequence-derived features, enabling large-scale annotation of membrane protein interactions and analysis of drug targets.

Whether you’re working in computational drug discovery, bioinformatics, or protein science, DeepTMInter provides a ready-to-use solution for protein interactions and drug screening.

📔 Documentation

Please check https://2003100127.github.io/deeptminter for its usage.

🛠️ Installation

📚 Citation

🏠 Developer

Jianfeng Sun

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