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 …

Recent advancements in AI-driven technologies, particularly in protein structure prediction,
are significantly resha** the landscape of drug discovery and development. This review …

More than three billion years of evolution have produced an image of biology encoded into
the space of natural proteins. Here we show that language models trained at scale on …

Abstract The PRoteomics IDEntifications (PRIDE) database (https://www. ebi. ac. uk/pride/) is
the world's leading mass spectrometry (MS)-based proteomics data repository and one of …

Adapting language models to protein sequences spawned the development of powerful
protein language models (pLMs). Concurrently, AlphaFold2 broke through in protein …

The 'structure assessment'web server is a one-stop shop for interactive evaluation and
benchmarking of structural models of macromolecular complexes including proteins and …

Abstract InterPro (https://www. ebi. ac. uk/interpro) is a freely accessible resource for the
classification of protein sequences into families. It integrates predictive models, known as …

Motivation Tools for pairwise alignments between 3D structures of proteins are of
fundamental importance for structural biology and bioinformatics, enabling visual …

Abstract The 2022 Nucleic Acids Research Database Issue contains 185 papers, including
87 papers reporting on new databases and 85 updates from resources previously published …

Advances in computational structure prediction will vastly augment the hundreds of
thousands of currently available protein complex structures. Translating these into …