Generative modeling for protein engineering is key to solving fundamental problems in
synthetic biology, medicine, and material science. We pose protein engineering as an …

RAS GTPases are important mediators of oncogenesis in humans. However, pharmacological
inhibition of RAS has proved challenging. Here we describe a functionally critical region, …

While deep learning models have seen increasing applications in protein science, few have
been implemented for protein backbone generation—an important task in structure-based …

Defects in the innate immune system in the lung with attendant bacterial infections contribute
to lung tissue damage, respiratory insufficiency, and ultimately death in the pathogenesis of …

While deep learning models have seen increasing applications in protein science, few have
been implemented for protein backbone generation—an important task in structure-based …

Designing de novo binding proteins against arbitrary epitopes using a single scaffold, as seen
with natural antibodies, remains an unsolved challenge in protein design. Current design …

Precision tools for spatiotemporal control of cytoskeletal motor function are needed to dissect
fundamental biological processes ranging from intracellular transport to cell migration and …

The primary challenge of fixed-backbone protein design is to find a distribution of sequences
that fold to the backbone of interest. This task is central to nearly all protein engineering …

Motivation Recent advances in computational methods have facilitated large-scale sampling
of protein structures, leading to breakthroughs in protein structural prediction and enabling …

A new approach to collective phenomena in superconductivity models is presented. In this
approach nonlinear spinor models are converted into equivalent theories involving fermions …