Sandrine Madeleine Suzanne Georgeon

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Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This k ...

Chromatin recruitment of effector proteins involved in gene regulation depends on multivalent interaction with histone post-translational modifications (PTMs) and structural features of the chromatin fiber. Due to the complex interactions involved, it is c ...

We present a rapid and high-throughput yeast and flow cytometry based method for predicting kinase inhibitor resistance mutations and determining kinase peptide substrate specificity. Despite the widespread success of targeted kinase inhibitors as cancer t ...

The ability to remotely control the activity of chimeric antigen receptors (CARs) with small molecules can improve the safety and efficacy of gene-modified T cells. Split ON- or OFF-switch CARs involve the dissociation of tumor–antigen binding from T cell ...

Molecular recognition events between proteins drive biological processes in living systems1. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules2, 3, 4-5. Despite recent ad ...

Anti-CRISPR (Acr) proteins are powerful tools to control CRISPR-Cas technologies. However, the available Acr repertoire is limited to naturally occurring variants. Here, we applied structure-based design on AcrIIC1, a broad-spectrum CRISPR-Cas9 inhibitor, ...

Protein-based therapeutics, such as monoclonal antibodies and cytokines, are important therapies for various pathophysiological conditions such as oncology, autoimmune disorders, and viral infections. However, the wide application of such protein therapeut ...

De novo design of complex protein folds using solely computational means remains a substantial challenge1. Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. Unique membrane topologies, ...

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 ...

Cysteine cathepsins are a family of proteases that are relevant therapeutic targets for the treatment of different cancers and other diseases. However, no clinically approved drugs for these proteins exist, as their systemic inhibition can induce deleterio ...

De novo protein design has enabled the creation of new protein structures. However, the design of functional proteins has proved challenging, in part due to the difficulty of transplanting structurally complex functional sites to available protein structur ...

Bruton's tyrosine kinase (Btk) is critical for B-cell maturation and activation. Btk loss-of-function mutations cause human X-linked agammaglobulinemia (XLA). In contrast, Btk signaling sustains growth of several B-cell neoplasms which may be treated with ...

De novo protein design explores uncharted sequence and structure space to generate novel proteins not sampled by evolution. A main challenge in de novo design involves crafting “designable” structural templates to guide the sequence searches toward adoptin ...

Sandrine Madeleine Suzanne Georgeon

Chattez avec Graph Search

De novo design of protein interactions with learned surface fingerprints

Single-molecule kinetic analysis of HP1-chromatin binding reveals a dynamic network of histone modification and DNA interactions

Rapid Screen for Tyrosine Kinase Inhibitor Resistance Mutations and Substrate Specificity

Dual ON/OFF-switch chimeric antigen receptor controlled by two clinically approved drugs

Targeting protein-ligand neosurfaces with a generalizable deep learning tool

Computational design of anti-CRISPR proteins with improved inhibition potency

Rational Design of Chemically Controlled Antibodies and Protein Therapeutics

Computational design of soluble and functional membrane protein analogues

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

Antibody-peptide conjugates deliver covalent inhibitors blocking oncogenic cathepsins

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

Btk SH2-kinase interface is critical for allosteric kinase activation and its targeting inhibits B-cell neoplasms

Exploring “dark-matter” protein folds using deep learning

De Novo Design of Site-specific Protein Binders Using Surface Fingerprints