Perspective: Interaction networks and AI for structure-based drug discovery
Many of our recent blog posts have dealt with physical modeling of small molecules and proteins. This is due to a recent flurry of groundbreaking research in equivariant neural networks that have improved structural modeling of chemicals. But today we step back to a broader-scope biochemistry problem. We are reviewing a paper from a few years ago, […]