Posts

Today we look at errors in structural biology, if protein language models incorporate quaternary state information, and check out a model that can design antibody libraries using GPT’s and deep reinforcement learning.

Today we look at three articles covering protein evolution, early amino acid selection, and machine learning validation in structural biology.

Today we look at protein design, and both structure and sequence language models.

This week we look at the structural universe of microbes, predicting amino acid side chains, and separating coevolution from entropy

This week there’s some more thoughts on AlphaFold and intrinsic disorder, a new experimental approach to look at high-energy protein conformations, and a structural angle to population genetics