The traditional approach of using 3D protein structure prediction is computationally expensive and often impractical for large-scale screening. The complexity of biological systems, combined with the ...

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...

Although proteins are composed out of only a small number of distinct amino acids, this deceptive simplicity quickly vanishes when considering the many possible sequences across a protein, not to ...

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

Researchers at the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University observe and model how the enzyme ADAR1 interacts with double-stranded RNA, which may be useful for future cancer ...

The three-dimensional shape of a protein can be used to resolve deep, ancient evolutionary relationships in the tree of life, according to a study in Nature Communications. It is the first time ...

CHICAGO, April 10, 2025 /PRNewswire/ -- Sarfaraz K. Niazi, an adjunct professor at the University of Illinois, Chicago, today filed a petition against the Nobel Prize Foundation for the selection of ...