Researchers applied an integrated computational pipeline to the model uropathogenic Escherichia coli strain UTI89 to predict ...

Although machine learning has transformed protein structure prediction of folded protein ground states with remarkable accuracy, intrinsically disordered proteins and regions (IDPs/IDRs) are defined ...

EIHR-PROT combines protein language model embeddings with homology search priors through a learned gate that adjusts fusion ...

Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at the Institute for ...

Biologists and computational scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory recently refined two artificial intelligence (AI) programs originally built by Meta, the ...

NEW YORK, May 6, 2026 /PRNewswire/ -- OpenProtein.AI, a leader in AI-powered protein engineering software, today announced it has been selected as a performer on the Defense Advanced Research Projects ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

A single human gene can produce multiple protein isoforms through alternative splicing, greatly expanding the functional diversity of the proteome. Yet despite decades of research, scientists still ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies.

For decades, scientists have understood proteins primarily through two defining features: their amino acid sequence and their three-dimensional structure. This framework has driven major advances in ...