In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

Protein-protein interaction (PPI) is a hot topic in clinical research as protein networking has a
major impact in human disease. Such PPIs are potential drugs targets, leading to the need …

We consider the prediction of interfaces between proteins, a challenging problem with
important applications in drug discovery and design, and examine the performance of …

Antibody design is valuable for therapeutic usage and biological research. Existing deep-
learning-based methods encounter several key issues: 1) incomplete context for …

Dysregulation of transcription factors has been implicated in a variety of human diseases.
However, these proteins have traditionally been regarded as undruggable and only a …

The advent of advanced molecular modeling software, big data analytics, and high-speed
processing units has led to the exponential evolution of modern drug discovery and better …

Targeting protein–protein interactions has long been considered as a very difficult if
impossible task, but over the past decade, front lines have moved. The number of successful …

Four hundred twenty-eight high-resolution DNA–protein complexes were chosen for a
bioinformatics study. Although 164 crystal structures (38% of those searched) contained no …

Protein aggregation is a widespread phenomenon that stems from the establishment of non-
native intermolecular contacts resulting in protein precipitation. Despite its deleterious …

Over two-thirds of integral membrane proteins of known structure assemble into oligomers.
Yet, the forces that drive the association of these proteins remain to be delineated, as the …