J. L. Watson

Diffusing protein binders to intrinsically disordered proteins

The paper develops RFdiffusion to generate protein binders for IDPs/IDRs, achieving nanomolar affinity and functional applications in amylin and IL2RG.

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning

This paper designs beta barrels and transmembrane nanopores using deep learning and parametric methods, achieving high success rates with experimental validation.

Accurate single domain scaffolding of three non-overlapping protein epitopes using deep learning

This paper designs small single domain proteins that present three distinct viral epitopes using deep learning, showing improved immunogenicity compared to single-epitope designs.

Atomically accurate de novo design of antibodies with RFdiffusion

This paper designs antibodies de novo with atomic precision using RFdiffusion and yeast display, validated by cryo-EM and biophysical methods.

ANXA11 biomolecular condensates facilitate protein-lipid phase coupling on lysosomal membranes

This study shows ANXA11 biomolecular condensates couple protein and lipid phase states on lysosomal membranes through interactions with ALG2 and CALC.

HEATR5B associates with dynein-dynactin and selectively promotes motility of AP1-bound endosomal membranes

This study identifies HEATR5B as a novel dynein-dynactin interactor that promotes AP1-bound endosomal membrane motility and Golgi transport in human and Drosophila cells.

Human basal-like breast cancer is represented by one of the two mammary tumor subtypes in dogs

The paper identifies a canine mammary tumor subtype that molecularly resembles human basal-like breast cancer, suggesting it as a potential translational model.

De novo design of high-affinity protein binders to bioactive helical peptides

This paper designs high-affinity protein binders for bioactive helical peptides using deep learning and generative models, achieving picomolar affinity without experimental optimization.

Accurate Mutation Effect Prediction using RoseTTAFold

This study evaluates RoseTTAFold's ability to predict mutation effects without additional training, achieving state-of-the-art accuracy across diverse protein families.

Induction of cortical Par complex polarity by designed proteins causes cytoskeletal symmetry breaking in unpolarized mammalian cells

The paper shows that inducing Par complex cortical polarity with designed proteins causes cytoskeletal symmetry breaking and asymmetric cell division features in unpolarized cells.

Deep learning methods for designing proteins scaffolding functional sites

This paper introduces two deep learning methods for designing proteins with specific functional sites, showing they can generate diverse proteins with desired properties.

Fibrinogen anchors for micropatterning of active proteins and subcellular receptor relocalisation

This paper introduces a method using fibrinogen as an anchor to improve protein micropatterning efficiency and activity, enabling precise control of cell shape and receptor distribution.

Canine tumor mutation rate is positively correlated with TP53 mutation across cancer types and breeds

The paper analyzes canine cancer mutation rates across breeds and cancer types, finding a positive correlation with TP53 mutations and a breed-specific mutation signature in Golden Retrievers.

Compensatory ion transport buffers daily protein rhythms to regulate osmotic balance and cellular physiology

The paper shows that circadian protein rhythms are compensated by ion transport to maintain osmotic balance and cellular function in mammalian cells and cardiomyocytes.