deepsmirud 0.1.2

No project description provided

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💻 Platform

🧭 Overview

DeepsmirUD is a deep learning-based framework that uniquely uses connectivity scores to predict whether small molecules will upregulate or downregulate microRNA (miRNA) expression, offering a scalable and sequence-driven approach for RNA-targeted drug discovery.

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

📔 Documentation

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

🛠️ Installation

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

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

📚 Citation

Sun, J., Ru, J., Ramos-Mucci, L., Qi, F., Chen, Z., Chen, S., Cribbs, A. P., Deng, L., & Wang, X. (2023). DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning. International journal of molecular sciences, 24(3), 1878. https://doi.org/10.3390/ijms24031878

@article{deepsmirud2023,
    TITLE = {DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning},
    AUTHOR = {Sun, Jianfeng and Ru, Jinlong and Ramos-Mucci, Lorenzo and Qi, Fei and Chen, Zihao and Chen, Suyuan and Cribbs, Adam P. and Deng, Li and Wang, Xia},
    JOURNAL = {International Journal of Molecular Sciences},
    VOLUME = {24},
    YEAR = {2023},
    NUMBER = {3},
    ARTICLE-NUMBER = {1878},
    URL = {https://www.mdpi.com/1422-0067/24/3/1878},
    PubMedID = {36768205},
    ISSN = {1422-0067},
    DOI = {10.3390/ijms24031878}
}

🏠 Developer

Jianfeng Sun

📧 Contact