Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

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 …

Understanding the emergence and structural characteristics of de novo and random proteins
is crucial for unraveling protein evolution and designing novel enzymes. However …

Repeat proteins are common in all domains of life and exhibit a wide range of functions. One
class of repeat protein contains solenoid folds where the repeating unit consists of β-strands …

The rapid evolution of protein structure prediction tools has significantly broadened access
to protein structural data. Although predicted structure models have the potential to …

AlphaFold protein structure database (AlphaFold DB) archives a vast number of predicted
models. We conducted systematic data mining against AlphaFold DB and discovered an …

Giant viruses, including Pandoraviruses, contain large amounts of genomic 'dark matter'-
genes encoding proteins of unknown function. New generation, deep learning-based …

Accurately computing protein similarity is challenging due to the intricate interplay between
local substructures and the global structure within protein molecules. Traditional metrics like …