In recent years, powerful genetic code reprogramming methods have emerged that allow
new functional components to be embedded into proteins as noncanonical amino acid …

Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …

Large language models trained on sequence information alone can learn high-level
principles of protein design. However, beyond sequence, the three-dimensional structures of …

Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …

Synthetic binding proteins (SBPs) represent a pivotal class of artificially engineered proteins,
meticulously crafted to exhibit targeted binding properties and specific functions. Here, the …

This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …

Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …

Pseudosymmetric hetero-oligomers with three or more unique subunits with overall
structural (but not sequence) symmetry play key roles in biology, and systematic approaches …

The work by Hassabis and Jumper on protein structure prediction together with Baker's
supremacy in de novo protein design set the stage for a future where AI not only deciphers …