Elisa Fadda

Integrating glycosylation in de novo protein design with ReGlyco Binder Design Filter

The paper integrates glycosylation filtering into a protein design pipeline to improve efficiency and reduce costs in binder design.

How the terminal glucoside of the N-glycan donor affects the catalytic efficiency of the eukaryotic oligosaccharyltransferase

This study investigates how the terminal Glc-(1-2)- in the LLO donor affects OST catalytic efficiency through molecular dynamics simulations of yeast OST with and without this motif.

The Ligand Preference of LRP1 is Regulated by O-glycans

The paper shows that O-glycans in LRP1's ligand-binding domains differentially modulate uptake of tau and amyloid beta, but not RAP or ApoE.

Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell membrane

This study investigates Siglec-6's binding mechanism to gangliosides, showing it relies on both conserved and membrane-associated residues for effective recognition.

Regulation of N-glycosylation efficiency by eukaryotic oligosaccharyltransferase

This paper identifies sequence determinants that regulate oligosaccharyltransferase (OST) catalytic efficiency and glycosylation specificity in proteins.

Molecular basis of Siglec-10 ligand recognition and antibody blockade

This study identifies key residues in Siglec-10 involved in ligand recognition and shows that antibody blockade can restore CAR-T cell cytotoxicity.

The molecular basis of immunosuppression by soluble CD52 is defined by interactions of N-linked and O-linked glycans with HMGB1 Box B

This paper characterizes the glycosylation of soluble CD52 and identifies its role in immune suppression through interactions with HMGB1 and SIGLEC-10.

Role of N-glycosylation as a determinant of ATG9A conformations and activity

This study uses MD simulations to show that N99 glycosylation in ATG9A enhances protomer interactions and lipid scrambling, but does not significantly affect autophagy flux.

Predicting glycan structure from tandem mass spectrometry via deep learning

The paper introduces CandyCrunch, a deep learning model that predicts glycan structures from tandem mass spectrometry data with high accuracy, enabling high-throughput glycomics.

ASM Variants in the Spotlight: A Structure-Based Atlas for Unraveling Pathogenic Mechanisms in Lysosomal Acid Sphingomyelinase

The paper creates a structural atlas of ASM variants to understand their pathogenic mechanisms and therapeutic implications.

Natural variations within the glycan shield of SARS-CoV-2 impact viral spike dynamics

The paper examines how natural variations in SARS-CoV-2 glycan sites affect spike protein dynamics and antigenic structure through molecular dynamics and structural modeling.