Highlights•Deep generative models generate proteins to help solve modern-day
challenges.•Most generative models of proteins generate sequences directly or generate …

Combining molecular modelling, machine-learned models and an increasingly detailed
understanding of protein chemistry and physics, computational protein design and human …

Therapeutic antibodies are manufactured, stored and administered in the free state; this
makes understanding the unbound form key to designing and improving development …

The Cambrian explosion of easily accessible pre-trained diffusion models suggests a
demand for methods that combine multiple different pre-trained diffusion models without …

Following the sequence and structure revolutions, predicting the dynamical mechanisms of
proteins that implement biological function remains an outstanding scientific challenge …

Any well-behaved generative model over a variable $\mathbf {x} $ can be expressed as a
deterministic transformation of an exogenous ('outsourced') Gaussian noise variable …