Elucidating protein–protein interaction (PPI) networks and their structural features within
cells is central to understanding fundamental biology and associations of cell phenotypes …

Structural information on protein–protein interactions (PPIs) is essential for improved
understanding of regulatory interactome networks that confer various physiological and …

To unravel why computational design fails in creating viable enzymes, while directed
evolution (DE) succeeds, our research delves into the laboratory evolution of protoglobin …

Two years on from the initial release of AlphaFold, we have seen its widespread adoption as
a structure prediction tool. Here, we discuss some of the latest work based on AlphaFold …

We propose a pipeline that combines AlphaFold2 (AF2) and crosslinking mass spectrometry
(XL-MS) to model the structure of proteins with multiple conformations. The pipeline consists …

Crosslinking mass spectrometry (XL-MS) has the potential to map the interactome of the cell
with high resolution and depth of coverage. However, current in vivo XL-MS methods are …

Cross-linking mass spectrometry (XL-MS) can provide a wealth of information on
endogenous protein–protein interaction (PPI) networks and protein binding interfaces …

Recent technological advances have deepened our perception of cellular structure.
However, most structural data doesn't originate from intact cells, limiting our understanding …

Protein–protein interactions (PPIs) are fundamental to understanding biological systems as
protein complexes are the active molecular modules critical for carrying out cellular …

Protein dynamics play a crucial role in their diverse functions. The intracellular environment
significantly influences protein dynamics, particularly for intrinsically disordered proteins …