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 …

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 …

Synucleinopathies are clinically and pathologically heterogeneous disorders characterized
by pathologic aggregates of α-synuclein in neurons and glia, in the form of Lewy bodies …

Abstract AlphaFold 2 (AF2) has placed Molecular Biology in a new era where we can
visualize, analyze and interpret the structures and functions of all proteins solely from their …

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 …

AlphaFold2 has revolutionized protein structure prediction by leveraging sequence
information to rapidly model protein folds with atomic‐level accuracy. Nevertheless, previous …

Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of
molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics …

Recombinant proteins play pivotal roles in numerous applications including industrial
biocatalysts or therapeutics. Despite the recent progress in computational protein structure …

The artificial intelligence program AlphaFold 2 is revolutionizing the field of protein structure
determination as it accurately predicts the 3D structure of two thirds of the human proteome …

In most cases, protein aggregation stems from the establishment of non-native
intermolecular contacts. The formation of insoluble protein aggregates is associated with …