Evolvability is the ability of a biological system to produce phenotypic variation that is both
heritable and adaptive. It has long been the subject of anecdotal observations and …

Evolution is the hallmark of life. Descriptions of the evolution of microorganisms have
provided a wealth of information, but knowledge regarding “what happened” has precluded …

Modeling the effect of sequence variation on function is a fundamental problem for
understanding and designing proteins. Since evolution encodes information about function …

Natural evolution must explore a vast landscape of possible sequences for desirable yet
rare mutations, suggesting that learning from natural evolutionary strategies could guide …

The ability to accurately model the fitness landscape of protein sequences is critical to a
wide range of applications, from quantifying the effects of human variants on disease …

Prolonged high-temperature extreme events in the ocean, marine heatwaves, can have
severe and long-lasting impacts on marine ecosystems, fisheries and associated services …

The problem of predicting a protein's 3D structure from its primary amino acid sequence is a
longstanding challenge in structural biology. Recently, approaches like alphafold have …

Predicting the effects of mutations in proteins is critical to many applications, from
understanding genetic disease to designing novel proteins to address our most pressing …

Protein engineering has enormous academic and industrial potential. However, it is limited
by the lack of experimental assays that are consistent with the design goal and sufficiently …

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