[HTML][HTML] Computational design of vaccine immunogens
KM Castro, A Scheck, S Xiao, BE Correia - Current opinion in …, 2022 - Elsevier
Computational protein engineering has enabled the rational design of customized proteins,
which has propelled both sequence-based and structure-based immunogen engineering …
which has propelled both sequence-based and structure-based immunogen engineering …
[HTML][HTML] Accurate de novo design of membrane-traversing macrocycles
We use computational design coupled with experimental characterization to systematically
investigate the design principles for macrocycle membrane permeability and oral …
investigate the design principles for macrocycle membrane permeability and oral …
[HTML][HTML] Glycan masking in vaccine design: Targets, immunogens and applications
Glycan masking is a novel technique in reverse vaccinology in which sugar chains (glycans)
are added on the surface of immunogen candidates to hide regions of low interest and thus …
are added on the surface of immunogen candidates to hide regions of low interest and thus …
[HTML][HTML] Antigen-and scaffold-specific antibody responses to protein nanoparticle immunogens
Protein nanoparticle scaffolds are increasingly used in next-generation vaccine designs,
and several have established records of clinical safety and efficacy. Yet the rules for how …
and several have established records of clinical safety and efficacy. Yet the rules for how …
[HTML][HTML] Mannose-binding lectin and complement mediate follicular localization and enhanced immunogenicity of diverse protein nanoparticle immunogens
Nanoparticle (NP) vaccine formulations promote immune responses through multiple
mechanisms. We recently reported that mannose-binding lectin (MBL) triggers trafficking of …
mechanisms. We recently reported that mannose-binding lectin (MBL) triggers trafficking of …
De novo design of monomeric helical bundles for pH‐controlled membrane lysis
N Goldbach, I Benna, BIM Wicky, JT Croft… - Protein …, 2023 - Wiley Online Library
Targeted intracellular delivery via receptor‐mediated endocytosis requires the delivered
cargo to escape the endosome to prevent lysosomal degradation. This can in principle be …
cargo to escape the endosome to prevent lysosomal degradation. This can in principle be …
[HTML][HTML] Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
Post-translational modifications (PTMs) of proteins play a vital role in their function and
stability. These modifications influence protein folding, signaling, protein-protein …
stability. These modifications influence protein folding, signaling, protein-protein …
Combining Rosetta Sequence Design with Protein Language Model Predictions Using Evolutionary Scale Modeling (ESM) as Restraint
Computational protein sequence design has the ambitious goal of modifying existing or
creating new proteins; however, designing stable and functional proteins is challenging …
creating new proteins; however, designing stable and functional proteins is challenging …
[HTML][HTML] Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
J Koehler Leman, S Lyskov, SM Lewis… - Nature …, 2021 - nature.com
Each year vast international resources are wasted on irreproducible research. The scientific
community has been slow to adopt standard software engineering practices, despite the …
community has been slow to adopt standard software engineering practices, despite the …
[HTML][HTML] A versatile Halo-and SNAP-tagged BMP/TGFβ receptor library for quantification of cell surface ligand binding
J Jatzlau, W Burdzinski, M Trumpp, L Obendorf… - Communications …, 2023 - nature.com
TGFβs, BMPs and Activins regulate numerous developmental and homeostatic processes
and signal through hetero-tetrameric receptor complexes composed of two types of …
and signal through hetero-tetrameric receptor complexes composed of two types of …