In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...

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 ...

A new AI-driven approach developed by researchers at the University of Sheffield, AstraZeneca, and the University of Southampton could make it easier to design proteins crucial for emerging therapies.

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 ...

MORRISVILLE, N.C.--(BUSINESS WIRE)--Asymchem (stock code: 002821.SZ/6821.HK), a leading global contract development and manufacturing organization (CDMO), has created an artificial intelligence (AI) ...

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 ...

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, a biotechnology company developing novel small-molecule therapies for targeted protein degradation at the point of synthesis, today announced it has raised €20.7 million (US$25 ...

Sam Pellock receives funding from the Washington Research Foundation and Schmidt Sciences. Enzymes are molecular machines that carry out the chemical reactions that sustain all life, an ability that ...