Cross-Continental AI Partnership Revolutionizes Drug Discovery Through Machine Learning Framework
A groundbreaking collaboration between researchers at The Ohio State University and the Indian Institute of Technology Madras has produced an...
drug
Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties
Bai, T., Kobayashi, K., Tamura, K., Jun, Y. & Zheng, L. Supercritical CO2 dyeing for nylon, acrylic, polyester, and casein...
QKDTI A quantum kernel based machine learning model for drug target interaction prediction
This study proposed QKDTI - Quantum Kernel Drug-Target Interaction, a novel quantum-enhanced regression framework for DTI prediction that enhance the...
How AI and machine learning are transforming drug discovery
Credit: Shutterstock AI is revolutionizing drug discovery with its ability to analyze vast datasets. Particularly beneficial in the early drug...
Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
Geometric machine learning method promises to accelerate precision drug development
by CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Comparison between crystallographic data and AlphaFold2 predictions....
