Drutai is a deep learning–based framework for predicting interactions between small molecule drugs and protein targets. It gains high accuracy due to its integration of multiple deep learning methods and informative features.
Whether you’re working in computational drug discovery, bioinformatics, or molecular pharmacology, Drutai provides a ready-to-use solution for high-accuracy DTI prediction.
Please check https://2003100127.github.io/drutai for its usage.
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(https://pypi.org/project/drutai)
conda create --name drutai python=3.11 conda activate drutai pip install drutai --upgrade
Sun, J., Xu, M., Ru, J., James-Bott, A., Xiong, D., Wang, X., & Cribbs, A. P. (2023). Small molecule-mediated targeting of microRNAs for drug discovery: Experiments, computational techniques, and disease implications. European journal of medicinal chemistry, 257, 115500. https://doi.org/10.1016/j.ejmech.2023.115500
@article{Sun2023,
title = {Small molecule-mediated targeting of microRNAs for drug discovery: Experiments, computational techniques, and disease implications},
author = {Jianfeng Sun and Miaoer Xu and Jinlong Ru and Anna James-Bott and Dapeng Xiong and Xia Wang and Adam P. Cribbs},
journal = {European Journal of Medicinal Chemistry},
volume = {257},
pages = {115500},
year = {2023},
issn = {0223-5234},
doi = {https://doi.org/10.1016/j.ejmech.2023.115500},
url = {https://www.sciencedirect.com/science/article/pii/S022352342300466X},
keywords = {microRNA targets, Drug discovery, Molecular interactions, Disease implications, Deep learning},
}
