Erbse, A. | bioRxiv Science

bioRxiv2024

Aggregation of an FG nucleoporin under crowded conditions

Macromolecular crowding can affect the aggregation behavior of intrinsically disordered proteins in unexpected ways. We studied the aggregation of a peptide derived from the disordered FG nucleoporins which line the nuclear pore complex. We measured its aggregation kinetics in the presence of both inert and non-specifically interacting crowding agents. Using fluorescence emission and NMR spectroscopy, we probed differences in the local chemical microenvironment of the peptides residues. Our results indicate differences in aggregation kinetics and residue microenvironment depending on the identity of the crowder, including differences between crowding with PEG and PVP, two polymers which are often used interchangeably as inert crowding agents.

biophysics↗

bioRxiv2021

Stabilization of the SARS-CoV-2 Receptor Binding Domain by Protein Core Redesign and Deep Mutational Scanning

Stabilizing antigenic proteins as vaccine immunogens or diagnostic reagents is a stringent case of protein engineering and design as the exterior surface must maintain recognition by receptor(s) and antigen--specific antibodies at multiple distinct epitopes. This is a challenge, as stability-enhancing mutations must be focused on the protein core, whereas successful computational stabilization algorithms typically select mutations at solvent-facing positions. In this study we report the stabilization of SARS-CoV-2 Wuhan Hu-1 Spike receptor binding domain (S RBD) using a combination of deep mutational scanning and computational design, including the FuncLib algorithm. Our most successful design encodes I358F, Y365W, T430I, and I513L RBD mutations, maintains recognition by the receptor ACE2 and a panel of different anti-RBD monoclonal antibodies, is between 1-2{degrees}C more thermally stable than the original RBD using a thermal shift assay, and is less proteolytically sensitive to chymotrypsin and thermolysin than the original RBD. Our approach could be applied to the computational stabilization of a wide range of proteins without requiring detailed knowledge of active sites or binding epitopes, particularly powerful for cases when there are multiple or unknown binding sites.

biochemistry↗