The stochastic block model (SBM) is a random graph model with planted clusters. It is widely
employed as a canonical model to study clustering and community detection, and provides …

Development of biosensing platforms plays a key role in research settings for identification
of biomarkers and in clinical applications for diagnostics. Biosensors based on nucleic acids …

Protein‐protein interaction plays key role in predicting the protein function of target protein
and drug ability of molecules. The majority of genes and proteins realize resulting …

Accurate descriptions of protein-protein interactions are essential for understanding
biological systems. Remarkably accurate atomic structures have been recently computed for …

Deubiquitinating enzymes (DUBs) remove ubiquitin (Ub) from Ub-conjugated substrates to
regulate the functional outcome of ubiquitylation. Here we report the discovery of a new …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

New phase transition phenomena have recently been discovered for the stochastic block
model, for the special case of two non-overlapping symmetric communities. This gives raise …

Proteins are dynamic entities that undergo a plethora of conformational changes that may
take place on a wide range of time scales. These changes can be as small as the rotation of …

Spatial structures of proteins are closely related to protein functions. Integrating protein
structures improves the performance of protein–protein interaction (PPI) prediction …

The assembly of individual proteins into functional complexes is fundamental to nearly all
biological processes. In recent decades, many thousands of homomeric and heteromeric …