💻 Platform

🧭 Overview

DeepdlncUD is a deep learning-based tool for predicting small molecule-mediated upregulation or downregulation of lncRNA expression, offering high accuracy and scalability for large-scale lncRNA-targeted drug discovery.

Whether you’re working in computational drug discovery, bioinformatics, or molecular pharmacology, DeepdlncUD provides a ready-to-use solution for drug screening.

📔 Documentation

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

🛠️ Installation

• (https://pypi.org/project/deepdlncud)

  conda create --name deepdlncud python=3.11
      
  conda activate deepdlncud
  
  pip install deepdlncud --upgrade
  

📚 Citation

Sun, J., Si, S., Ru, J., & Wang, X. (2023). DeepdlncUD: Predicting regulation types of small molecule inhibitors on modulating lncRNA expression by deep learning. Computers in biology and medicine, 163, 107226. https://doi.org/10.1016/j.compbiomed.2023.107226

@article{deepdlncud2023,
    title = {DeepdlncUD: Predicting regulation types of small molecule inhibitors on modulating lncRNA expression by deep learning},
    author = {Jianfeng Sun and Shuyue Si and Jinlong Ru and Xia Wang},
    journal = {Computers in Biology and Medicine},
    volume = {163},
    pages = {107226},
    year = {2023},
    issn = {0010-4825},
    doi = {https://doi.org/10.1016/j.compbiomed.2023.107226},
    url = {https://www.sciencedirect.com/science/article/pii/S0010482523006911},
    keywords = {Long non-coding RNAs, Small molecules, Regulation types, Drug discovery, Deep learning},
    }

🏠 Developer

Jianfeng Sun

📧 Contact