Protein molecules can have complicated structures that dictate their functions. Christoph Burgstedt/Science Photo Library via Getty Images Although the Nobel Prizes in physics and chemistry are ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

The scientists constructed a machine learning algorithm based on AlphaFold2 (a protein structure predictor whose developers, John Jumper and Demis Hassabis, shared the Nobel Prize in Chemistry with ...

Enodia Therapeutics, a biotechnology company developing novel small-molecule therapies for targeted protein degradation at ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods. ML-based ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...

Enodia Therapeutics has raised €20.7m ($25m) in seed funding to advance a small-molecule platform for targeted protein ...

Many of the food industry’s most persistent problems exist not in the realm of business and economics – scaling, costs of materials and the like – but in nature itself. Crops, which the food industry ...

Argobio successfully facilitated fundraising and syndication process, following its earlier role in creating and pre-seed funding EnodiaFinancing ...