Personne

David Gfeller

Cette personne n’est plus à l’EPFL

Publications associées (11)

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Evolutionary changes in the hepatitis B virus (HBV) genome could reflect its adaptation to host -induced selective pressure. Leveraging paired human exome and ultra -deep HBV genome-sequencing data from 567 affected individuals with chronic hepatitis B, we ...

Cell Press2024

Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes

Florence Pojer, George Coukos, Kelvin Ka Ching Lau, Amédé Noredine Larabi, Julien Racle, David Gfeller, Marta Andreia Da Silva Perez, Alexandre Harari

CD4+T cells orchestrate the adaptive immune response against pathogens and cancer by recognizing epitopes presented on class II major histocompatibility complex (MHC-II) molecules. The high polymorphism of MHC-II genes represents an important hurdle toward ...

CELL PRESS2023

Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer

Hatice Altug, Alexander Mathis, George Coukos, Xiaokang Li, Yen-Cheng Liu, David Gfeller, Pedro Romero, Alexandre Harari, Amélie Cachot, Margaux Saillard, Georg Alexander Rockinger

CD4 T cells have been implicated in cancer immunity for their helper functions. Moreover, their direct cytotoxic potential has been shown in some patients with cancer. Here, by mining single-cell RNA-seq datasets, we identified CD4 T cell clusters displayi ...

2021

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The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to t ...

Oxford University Press2016

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Improving the binding affinity and/or stability of peptide ligands often requires testing of large numbers of variants to identify beneficial mutations. Herein we propose a type of mutation that promises a high success rate. In a bicyclic peptide inhibitor ...

2013

Coarse graining techniques offer a promising alternative to large-scale simulations of complex dynamical systems, as long as the coarse-grained system is truly representative of the initial one. Here, we investigate how the dynamical properties of oscillat ...

American Physical Society2008

The framework of complex networks has been shown to describe adequately a wide class of complex systems made up of a large number of interacting units. In this framework, a node is associated to each unit and two nodes are connected by an edge if the two u ...

EPFL2007

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The configuration space network (CSN) of a dynamical system is an effective approach to represent the ensemble of configurations sampled during a simulation and their dynamic connectivity. To elucidate the connection between the CSN topology and the underl ...

2007

Reducing the complexity of large systems described as complex networks is key to understanding them and a crucial issue is to know which properties of the initial system are preserved in the reduced one. Here we use random walks to design a coarse graining ...

American Physical Society2007

Complex network analysis of free-energy landscapes

Paolo De Los Rios, David Gfeller

The kinetics of biomolecular isomerization processes, such as protein folding, is governed by a free-energy surface of high dimensionality and complexity. As an alternative to projections into one or two dimensions, the free-energy surface can be mapped in ...

National Academy of Sciences2007

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