Artificial intelligence-driven advances in protein structure prediction in recent years have
raised the question: has the protein structure-prediction problem been solved? Here, with a …

Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …

In CASP15, 87 predictors submitted around 11 000 models on 41 assembly targets. The
community demonstrated exceptional performance in overall fold and interface contact …

Protein structure prediction is important for understanding their function and behavior. This
review study presents a comprehensive review of the computational models used in …

Glycans are ubiquitous in nature, decorating our cells and serving as the initial points of
contact with any visiting entities. These glycan interactions are fundamental to host …

In this work, catalytically significant states of the oncogenic G12C variant of KRAS, those of
Mg2+-free and Mg2+-bound GDP-loaded forms, have been determined using CS-Rosetta …

Although many protein structures have been determined at atomic resolution, the majority of
them are static and represent only the most stable or averaged structures in solution. When …

Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer
immunotherapy, requiring optimal design to elicit a robust and targeted immune response …

The validity of protein structures and interactions, whether determined under ideal laboratory
conditions or predicted by AI tools such as Alphafold2, to precisely reflect those found in …

Olfactory receptors, classified as G-protein coupled receptors (GPCRs), have been a subject
of scientific inquiry since the early 1950s. Historically, investigations into the sensory …