Macromolecular crowding affects the activity of proteins and functional macromolecular
complexes in all cells, including bacteria. Crowding, together with physicochemical …

Proteomics has been revolutionized by large protein language models (PLMs), which learn
unsupervised representations from large corpora of sequences. These models are typically …

Machine learning (ML)–based design approaches have advanced the field of de novo
protein design, with diffusion-based generative methods increasingly dominating protein …

Recent progress in protein structure prediction based on deep learning revolutionized the
field of Structural Biology. Beyond single proteins, it also enabled high-throughput prediction …

The formation of dynamic protein filaments contributes to various biological functions by
clustering individual molecules together and enhancing their binding to ligands. We report …

Many enzymes assemble into homomeric protein complexes comprising multiple copies of
one protein. Because structural form is usually assumed to follow function in biochemistry …

Predicting which proteins interact together from amino acid sequences is an important task.
We develop a method to pair interacting protein sequences which leverages the power of …

Biological systems can gain complexity over time. While some of these transitions are likely
driven by natural selection, the extent to which they occur without providing an adaptive …

Protein assembly into functional complexes is critical to life's processes. While complex
assembly is classically described as occurring between fully synthesized proteins, recent …

Background Determining a protein's quaternary state, ie the number of monomers in a
functional unit, is a critical step in protein characterization. Many proteins form multimers for …