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Bottom-up de novo design of functional proteins with complex structural features

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Bottom-up de novo design of functional proteins with complex structural features

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Assessing and enhancing foldability in designed proteins

Scaffolding protein functional sites using deep learning

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions

Fast end-to-end learning on protein surfaces

Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design

De novo protein design enables the precise induction of RSV-neutralizing antibodies

rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning