Natural language processing (NLP) is a field of computer science concerned with automated
text and language analysis. In recent years, following a series of breakthroughs in deep and …

Protein structures are valuable tools to understand protein function. Nonetheless, proteins
are often considered as rigid macromolecules while their structures exhibit specific flexibility …

While knowledge of protein-protein interactions (PPIs) is critical for understanding virus-host
relationships, limitations on the scalability of high-throughput methods have hampered their …

For the past half-century, structural biologists relied on the notion that similar protein
sequences give rise to similar structures and functions. While this assumption has driven …

Protein structure alignment algorithms are often time-consuming, resulting in challenges for
large-scale protein structure similarity-based retrieval. There is an urgent need for more …

Recent breakthroughs in protein structure prediction demarcate the start of a new era in
structural bioinformatics. Combined with various advances in experimental structure …

Here, we systematically decompose the known protein structural universe into its basic
elements, which we dub tertiary structural motifs (TERMs). A TERM is a compact backbone …

Rapid advances in high-throughout genome sequencing technologies have resulted in
millions of protein-encoding gene sequences with no functional characterization. Automated …

Viruses deploy genetically encoded strategies to coopt host machinery and support viral
replicative cycles. Here, we use protein structure similarity to scan for molecular mimicry …

Finding backbone substructures from the Protein Data Bank that match an arbitrary query
structural motif, composed of multiple disjoint segments, is a problem of growing relevance …