Up-to-date computational pipeline characterizes G-protein-coupled receptor (GPCR) repertoires in the closest relatives of metazoans, providing a framework to investigate the evolutionary origins and ...
Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
The key insight with a new strategy for training protein engineering models, called EvoRank, is to harness the natural variations of millions of proteins generated by evolution over deep time and ...
Researchers at Scripps have created T7-ORACLE, a powerful new tool that speeds up evolution, allowing scientists to design and improve proteins thousands of times faster than nature. Using engineered ...
Most mutations that cause disease by swapping one amino acid out for another do so by making the protein less stable, according to a major study of human protein variants that was published in Nature ...
Schematic of the T7-ORACLE system. The genome is maintained by the non-mutagenic host replisome (gray), while an orthogonal T7 replisome (red) maintains only a dedicated plasmid (OR) at 100,000-fold ...
It has long been thought that protein function and stability are highly sensitive to changes in the composition of the internal structures, or protein cores. However, a large-scale experiment probing ...
In a remarkable leap forward for synthetic biology, the AI model ESM3, developed by Evolutionary Scale, has achieved a significant milestone. By simulating half a billion years of evolutionary ...
Protein evolution plays a key role in many biological processes that are essential for life – but what does it have to do with physics? Schematic overview of procedure used to generate simulated ...
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