Publications by Nicola Dietler

Impact of phylogeny on the inference of functional sectors from protein sequence data

Anne-Florence Raphaëlle Bitbol, Nicola Dietler, Alia Abbara

Statistical analysis of multiple sequence alignments of homologous proteins has revealed groups of coevolving amino acids called sectors. These groups of amino-acid sites feature collective correlations in their amino-acid usage, and they are associated to ...

2024

Impact of phylogeny on inference from protein sequences: from models to natural data

Nicola Dietler

Proteins are macromolecules considered as the building blocks of cells because they are at the heart of almost every cellular task, ranging from chemical to mechanical processes. For instance, proteins play a role as enzymes for digestion, transporters of ...

EPFL2024

Impact of phylogeny on structural contact inference from protein sequence data

Anne-Florence Raphaëlle Bitbol, Umberto Lupo, Nicola Dietler

Local and global inference methods have been developed to infer structural contacts from multiple sequence alignments of homologous proteins. They rely on correlations in amino acid usage at contacting sites. Because homologous proteins share a common ance ...

ROYAL SOC2023

Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences

Anne-Florence Raphaëlle Bitbol, Nicola Dietler, Andonis Samuel Rene Gerardos

Inferring protein-protein interactions from sequences is an important task in computational biology. Recent methods based on Direct Coupling Analysis (DCA) or Mutual Information (MI) allow to find interaction partners among paralogs of two protein families ...

Public Library Science2022

A convolutional neural network segments yeast microscopy images with high accuracy

Anne-Florence Raphaëlle Bitbol, Sahand Jamal Rahi, Vojislav Gligorovski, Mateusz Kozinski, Martin Weigert, Nicola Dietler, Matthias Minder, Ahmad Sadeghi

The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit i ...

Nature Research2020