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 …

Though many folded proteins assume one stable structure that performs one function, a
small‐but‐increasing number remodel their secondary and tertiary structures and change …

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 program SSDraw generates publication‐quality protein secondary structure diagrams
from three‐dimensional protein structures. To depict relationships between secondary …

Recent work suggests that AlphaFold2 (AF2)–a deep learning-based model that can
accurately infer protein structure from sequence–may discern important features of folded …

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 …

Though typically associated with a single folded state, globular proteins are dynamic and
often assume alternative or transient structures important for their functions 1, 2. Wayment …

Fold‐switching proteins, which remodel their secondary and tertiary structures in response
to cellular stimuli, suggest a new view of protein fold space. For decades, experimental …

Fold‐switching enables metamorphic proteins to reversibly interconvert between two highly
dissimilar native states to regulate their protein functions. While about 100 proteins have …

Metamorphic proteins switch reversibly between multiple distinct, stable structures, often
with different functions. It was previously hypothesized that metamorphic proteins arose as …