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 …

Highlights•AlphaFold models have rigid protein structures.•Advanced deep algorithms fed
relevant data can accurately predict structures.•Algorithmic advances can harness …

Recent work suggests that AlphaFold (AF)–a deep learning-based model that can
accurately infer protein structure from sequence–may discern important features of folded …

The molecular details involved in the folding, dynamics, organization, and interaction of
proteins with other molecules are often difficult to assess by experimental techniques …

Artificial intelligence has made significant advances in the field of protein structure prediction
in recent years. In particular, DeepMind's end-to-end model, AlphaFold2, has demonstrated …

In the last two decades, our existing notion that most foldable proteins have a unique native
state has been challenged by the discovery of metamorphic proteins, which reversibly …

The rate of protein synthesis is slower than many folding reactions and varies depending on
the synonymous codons encoding the protein sequence. Synonymous codon substitutions …

Predicting protein interactions in the cellular environment still remains a challenge in the
AlphaFold era. Protein interactions, similarly to their structures, sample a continuum from …

Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals
despite significant challenges and risks to their discovery and development. This review …

Natural bioactive compounds are valuable resources for drug discovery due to their diverse
and unique structures. However, these compounds often lack optimal drug-like properties …