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 ...

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 ...

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 ...

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 ...

(a) Protein sequence-structure co-design with PocketGen; (b) Dual-layer graph Transformer encoder; (c) Pre-trained protein language model for sequence prediction and efficient fine-tuning. Researchers ...

With the advent of AI-powered protein design tools, protein-based therapeutics may no longer be constrained by the limits imposed by natural selection. Protein-based therapeutics have been ...