PLAID is a multimodal generative model that simultaneously produces protein sequences and structures by learning the latent space of protein folding models. It addresses limitations in previous models by generating all-atom structures and incorporating organism-specific constraints, useful for real-world applications like drug
Table of contents
From structure prediction to real-world drug designGenerating “useful” proteinsTraining using sequence-only training dataHow does it work?Compressing the latent space of protein folding modelsWhat’s next?Further linksSome bonus protein generation fun!AcknowledgementsSort: