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Biology subjects

Burre, H.

Publications and source records attributed to Burre, H..

2 recordsLinked to original sources

Control of Guanine Exchange Factor Activity Using De Novo Designed Protein Inhibitors

Guanine Exchange Factors (GEF) of the Dbl family are the main activators of RhoA GTPases. GEF and GTPase activity is tightly regulated at the subcellular level with fast kinetics. Therefore, to fully understand the function of Dbl GEFs requires their study in living cells. Towards developing molecular tools that reversibly and rapidly modulate the activity of endogenous GEFs in living cells, here we developed a general platform for engineering inhibitors against members of the Dbl family of GEFs using generative protein design. Engineered proteins showed high affinity and remarkable specificity for the target GEFs and modulated GEF activity both in vitro and in cells. In a proof-of-principle example, a GEF inhibitor was coupled to a light-activated module, enabling the optogenetic control of its activity in cells. These findings show that generative protein design can create modulators of intracellular signaling and broaden the range of tools available for biological research.

cell biology↗

Iterative immunogen optimization to focus elicited responses on a conserved, subdominant influenza hemagglutinin epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogens to mutate and readily evade immune responses. While these viruses contain conserved regions that cannot easily mutate without affecting viral fitness, these sites are subdominant, meaning that they are not the primary target of antibodies elicited by natural infection or current vaccines. Here, we integrated recent advances in machine learning methods for protein structure prediction and design to engineer protein immunogens that focus immune responses on a conserved, subdominant HA epitope targeted by broadly cross-reactive influenza antibodies. Iterating between computation-guided optimization and in vivo analyses generated immunogens that faithfully displayed the target epitope and redirected humoral responses toward it upon vaccination. These results provide a blueprint for applying recent protein engineering approaches to immunogen design and may inform the development of broadly protective influenza vaccines.

immunology↗