Computational Drug Repurposing

Computational drug repurposing uses computer algorithms and data analysis to identify existing medications that could be effective against different diseases than they were originally approved for. Instead of developing new drugs from scratch, this approach screens large datasets of drug information, biological targets, and disease mechanisms to find potential matches quickly and cost-effectively. It leverages computer models, artificial intelligence, and bioinformatics to predict which existing drugs might be effective for new conditions, speeding up the process of finding new treatments and reducing development risks.