Enzyme evolution is reversible on a structural and functional (phenotypic) level, but through a different mutational pathway that leads to genotypic incompatibility with the ancestor.

A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.

Deep mining of GT-A fold sequences provides an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation.

By measuring the impacts of thousands of mutations on potassium channel trafficking and function, we illuminate the molecular basis of folding, structure–function relationships, and how these are altered in disease.

The protein components of an essential and conserved meiotic interface, the synaptonemal complex, have highly conserved coil-coiled domains and protein length, despite highly diverged sequence.

Comparative genomics and three-dimensional protein modelling identify homologs of insect chemosensory receptors in unicellular eukaryotes and plants.

Map-like organisations of relational knowledge can be extracted from the hippocampal-entorhinal system in situations where relationships are non-spatial rather than spatial, discrete rather than continuous, and unavailable to conscious awareness.

The structural relationship between TMC and TMEM16 proteins provides insight into the structure and functional mechanisms of the mechanotransduction channel complex in hair cells.

Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.

Computational and experimental structural biology reveals the structural repertoire of effector proteins produced by Fusarium oxysporum f. sp. lycopersici during infection of tomato.