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De novo protein design by inversion of the AlphaFold structure prediction network

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De novo protein design by inversion of the AlphaFold structure prediction network

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Assessing and enhancing foldability in designed proteins

Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences

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

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

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

Fast end-to-end learning on protein surfaces

Assessment of transferable forcefields for protein simulations attests improved description of disordered states and secondary structure propensities, and hints at multi-protein systems as the next challenge for optimization

Method for generating variants of a protein

Method for generating variants of a protein

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

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

Fast end-to-end learning on protein surfaces

Method for generating variants of a protein

Assessment of transferable forcefields for protein simulations attests improved description of disordered states and secondary structure propensities, and hints at multi-protein systems as the next challenge for optimization

Method for generating variants of a protein

Assessing and enhancing foldability in designed proteins

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

Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences

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