deepsmirud

PyPI

💻 Platform

Python PyPI

🧭 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

PyPI (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

Release files for deepsmirud 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deepsmirud 0.1.2
File	Size	Uploaded
deepsmirud-0.1.2.tar.gz	18.8 kB	Apr 11, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for deepsmirud 0.1.2
File	Interpreter	ABI	Platform	Reset
deepsmirud-0.1.2-py3-none-any.whl 21.4 kB Apr 11, 2025	Python 3	none	any	Details

Total release size: 40.2 kB

Release files / deepsmirud-0.1.2.tar.gz

Download URL	deepsmirud-0.1.2.tar.gz
Size	18.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`9702a731d8a52b0ade33f5c14e969b959d94a20988dee0bee6ac909b4a480bfd`
BLAKE2b-256 checksum How to use checksums	`ef3191c2d6b113b009d1fd2351b6601e4d69395893a31d0ee0b85a8fc1b39535`
Upload date	Apr 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/2.1.2 CPython/3.11.11 Linux/6.8.0-1021-azure`

Release files / deepsmirud-0.1.2-py3-none-any.whl

Download URL	deepsmirud-0.1.2-py3-none-any.whl
Size	21.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d610a9536a229821598ed6ce1cec5c560535316c4133f4775a8532f676c02f70`
BLAKE2b-256 checksum How to use checksums	`87a74429cae6b4d9bd7136581bc65696110d5fc13c1aaa24791518a2c43653b5`
Upload date	Apr 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/2.1.2 CPython/3.11.11 Linux/6.8.0-1021-azure`