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Patrick Daniel Barth

Publications associées (20)

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G-protein-coupled receptors (GPCRs) are key regulators of human physiology and are the targets of many small-molecule research compounds and therapeutic drugs. While most of these ligands bind to their target GPCR with high affinity, selectivity is often l ...

2024

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Key cellular functions depend on the transduction of extracellular mechanical signals by specialized membrane receptors including adhesion G-protein coupled receptors (aGPCRs). While recently solved structures support aGPCR activation through shedding of t ...

2023

Computational design of dynamic receptor—peptide signaling complexes applied to chemotaxis

Patrick Daniel Barth, Mahdi Hijazi, Aurélien Laurent Jean-Charles Oggier, Ana Paola Rico Villarreal, Robert Everett Jefferson, Andreas Füglistaler

Engineering protein biosensors that sensitively respond to specific biomolecules by triggering precise cellular responses is a major goal of diagnostics and synthetic cell biology. Previous biosensor designs have largely relied on binding structurally well ...

2023

The present invention relates to a computer-implemented method for engineering the interaction between a protein and a cognate peptide that are capable of forming a molecular complex, wherein the method comprises (a) preparing in silico a library of test p ...

2023

Designed biosensors for enhanced t cell therapy

Patrick Daniel Barth

This disclosure describes a method for de novo bottom-up assembly and rational design of allosteric biosensors with programmable input-output behaviors that respond to soluble factors selectively enriched in tumors and trigger co-stimulation and cytokine s ...

2023

The present invention relates to variants of the GAIN domain (G-protein-coupled receptor autoproteolysis-inducing domain) of an adhesion G protein-coupled receptor (ADGRG), such as a GAIN domain variant comprising or consisting of the amino acid sequence o ...

2023

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G-protein-coupled receptors (GPCRs) are the largest class of cell surface receptors and drug targets, and respond to a wide variety of chemical stimuli to activate diverse cellular functions. Understanding and predicting how ligand binding triggers a speci ...

bioRxiv2022

Computational design of ultrasensitive flexible peptide:receptor signaling complexes for enhanced chemotaxis

Patrick Daniel Barth, Mahdi Hijazi, Aurélien Laurent Jean-Charles Oggier, Ana Paola Rico Villarreal, Robert Everett Jefferson, Andreas Füglistaler

Engineering biosensors that sensitively recognize specific biomolecules and trigger functional cellular responses is a holy grail of diagnostics and synthetic cell biology. Biosensor design approaches have mostly focused on binding structurally well-define ...

bioRxiv2022

Deep learning approaches for conformational flexibility and switching properties in protein design

Patrick Daniel Barth, Mahdi Hijazi

Following the hugely successful application of deep learning methods to protein structure prediction, an increasing number of design methods seek to leverage generative models to design proteins with improved functionality over native proteins or novel str ...

2022

Communication across membranes controls critical cellular processes and is achieved by receptors translating extracellular signals into selective cytoplasmic responses. While receptor tertiary structures can be readily characterized, receptor associations ...

2022