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 …

Given the constantly improving cost and speed of genome sequencing, it is reasonable to
expect that personal genomes will soon be known for many millions of humans. This stands …

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

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 …

The functions of proteins and RNAs are defined by the collective interactions of many
residues, and yet most statistical models of biological sequences consider sites nearly …

Multiplex assays of variant effect (MAVEs), such as deep mutational scans and massively
parallel reporter assays, test thousands of sequence variants in a single experiment. Despite …

The immediate evolutionary space accessible to HIV is largely determined by how single
amino acid mutations affect fitness. These mutational effects can shift as the virus evolves …

Highlights•In-depth sequence analysis reveals that the protein fold universe is more
evolutionarily connected than previously assumed.•Short ancestral fragments are observed …

Studies of protein fitness landscapes reveal biophysical constraints guiding protein
evolution and empower prediction of functional proteins. However, generalisation of these …

Applied biocatalysis is driven by environmental and economic incentives for using enzymes
in the synthesis of various pharmaceutical and industrially important chemicals. Protein …