An idiot’s guide to lead optimisation for proteins
Summary
This post explains how machine learning and transformer-based protein language models can guide lead optimization in protein design, focusing on the Cradle pipeline, evotuning, and prediction components. It outlines a workflow from base models to specialized fine-tuning and generation, including group-based DPO variants and lab-assay considerations.