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A generic framework for hierarchical de novo protein design

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A generic framework for hierarchical de novo protein design

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A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

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

Generative power of a protein language model trained on multiple sequence alignments

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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

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