#1An Idiot's Guide to Lead Optimisation for Proteins
A deep dive into how ML-powered protein engineering actually works, walking through Cradle's pipeline of transformer-based language models, evolutionary fine-tuning, and grouped Direct Preference Optimization. The article demystifies the feedback loop between computational predictions and wet-lab validation that's revolutionizing drug design. It's a surprisingly accessible primer on one of biotech AI's most commercially important workflows.