Computer-aided drug discovery has been around for decades, although the past few years
have seen a tectonic shift towards embracing computational technologies in both academia …

Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …

Intrinsically disordered proteins and regions (collectively, IDRs) are pervasive across
proteomes in all kingdoms of life, help to shape biological functions and are involved in …

Proteins are key to all cellular processes and their structure is important in understanding
their function and evolution. Sequence-based predictions of protein structures have …

Artificial intelligence-based protein structure prediction methods such as AlphaFold have
revolutionized structural biology. The accuracies of these predictions vary, however, and …

Despite advances in machine learning-based protein structure prediction, we are still far
from fully understanding how proteins fold into their native conformation. The conventional …

INTRODUCTION The eukaryotic nucleus protects the genome and is enclosed by the two
membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear …

Equilibrium fluctuations and triggered conformational changes often underlie the functional
cycles of membrane proteins. For example, transporters mediate the passage of molecules …

Abstract The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold. ebi. ac.
uk) is an openly accessible, extensive database of high-accuracy protein-structure …

We are now entering a new era in protein sequence and structure annotation, with hundreds
of millions of predicted protein structures made available through the AlphaFold database …