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Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design

Related publications (38)

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Functional de novo Protein Design for Targeted Vaccines and Synthetic Biology Applications

Che Yang

Evolution has created, selected and evolved large repertoires of proteins that operate in various biological systems. Nowadays biotechnological needs are coming up orders of magnitude faster than proteins naturally evolve. The emergence of de novo protein ...

EPFL2020

Inter-laboratory Study for Characterizing Monoclonal Antibodies by Top-Down and Middle-Down Mass Spectrometry

Yury Tsybin, Natalia Gasilova, Laure Menin, Luca Fornelli, Kristina Srzentic

The Consortium for Top-Down Proteomics (www.topdownproteomics.org) launched the present study to assess the current state of top-down mass spectrometry (TD MS) and middle-down mass spectrometry (MD MS) for characterizing monoclonal antibody (mAb) primary s ...

2020

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De novo protein design has been successful in expanding the natural protein repertoire. However, most de novo proteins lack biological function, presenting a major methodological challenge. In vaccinology, the induction of precise antibody responses remain ...

2020

Proteins have evolved over millions of years to carry out the vast majority of biological functions that are fundamental to life. Their three-dimensional structures and functions have been in the focus of biomedical research for many decades, and substanti ...

EPFL2019

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Rationalizing the structure and structure–property relations for complex materials such as polymers or biomolecules relies heavily on the identification of local atomic motifs, e.g., hydrogen bonds and secondary structure patterns, that are seen as buildin ...

2019

A further leap of improvement in tertiary structure prediction in CASP13 prompts new routes for future assessments

Matteo Dal Peraro, Luciano Andres Abriata, Giorgio Elikem Tamo

We present our assessment of tertiary structure predictions for hard targets in Critical Assessment of Structure Prediction round 13 (CASP13). The analysis includes (a) assignment and discussion of best models through scores-aided visual inspection of mode ...

WILEY2019

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Bruno Emanuel Ferreira De Sousa Correia, Michael Bronstein, Pablo Gainza Cirauqui, Freyr Sverrisson

Predicting interactions between proteins and other biomolecules solely based on structure remains a challenge in biology. A high-level representation of protein structure, the molecular surface, displays patterns of chemical and geometric features that fin ...

2019

Introducing tolerance to foreign and partly foreign proteins by erythrocyte binding and artificial glycosylations

Kym Lorenz Brünggel

Over the last few years, protein drugs have steadily gained importance in the clinic. Compared to small molecule drugs, protein drugs are taken up by antigen presenting cells, which degrade the proteins into peptides that are then presented on major histoc ...

EPFL2018

Structure-property relationships at the atomic scale are usually understood in terms of recurrent structural motifs formed by atoms and molecules, and how they transform and interact with each other. We introduce with this thesis a novel analysis approach, ...

EPFL2018

Engineered plasmonic nanostructures have emerged as powerful sensing platforms and are promoting novel applications in various fields. By providing extreme field confinement down to molecular dimensions and enhancing light-matter interaction at the nanosca ...

EPFL2018