Publications associées à Analysis of Translation Elongation Dynamics in the Context of an Escherichia coli Cell

Live-cell imaging powered by computation

The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preservi ...

Nature Portfolio2024

Bactericidal effect of tetracycline in E. coli strain ED1a may be associated with ribosome dysfunction

Martin Beck, Camille Véronique Bernadette Goemans, Christian Eugen Zimmerli

Ribosomes translate the genetic code into proteins. Recent technical advances have facilitated in situ structural analyses of ribosome functional states inside eukaryotic cells and the minimal bacterium Mycoplasma. However, such analyses of Gram-negative b ...

Nature Research2024

Ribo-DT: An automated pipeline for inferring codon dwell times from ribosome profiling data

Felix Naef, Cédric Gobet

Protein synthesis is an energy consuming process characterised as a pivotal and highly regulated step in gene expression. The net protein output is dictated by a combination of translation initiation, elongation and termination rates that have remained dif ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia, Alexandra Krina Van Hall-Beauvais

Protein–protein interactions (PPIs) govern numerous cellular functions in terms of signaling, transport, defense and many others. Designing novel PPIs poses a fundamental challenge to our understanding of molecular interactions. The capability to robustly ...

2022

Computational tools and resources for designing new pathways to small molecules

Vassily Hatzimanikatis, Anastasia Sveshnikova

The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...

CURRENT BIOLOGY LTD2022

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

Andreas Scheck

Proteins are fundamental components in biological systems and crucial for a variety of biological functions. Over the last decades, significant progress in structural biology has facilitated the study of proteins and their interactions with molecular partn ...

EPFL2021

The influence of the crowding assumptions in biofilm simulations

Vassily Hatzimanikatis, Liliana Angeles Martinez

Author summary In nature, many organisms grow in crowded biofilms that protect against stressful conditions, making their control/eradication a challenge. Modeling these microbial systems is a valuable tool for studying the interactions among cells and exp ...

2021

Robust landscapes of ribosome dwell times and aminoacyl-tRNAs in response to nutrient stress in liver

Felix Naef, Cédric Gobet, Frédéric Bruno Martin Gachon, Benjamin Dieter Weger, Nagammal Neelagandan

Translation depends on messenger RNA (mRNA)-specific initiation, elongation, and termination rates. While translation elongation is well studied in bacteria and yeast, less is known in higher eukaryotes. Here we combined ribosome and transfer RNA (tRNA) pr ...

National Academy of Sciences2020

Computational characterisation of the selectivity and binding mode of mono- and binuclear transition metal based anticancer compounds

Thibaud Edouard Alistair von Erlach

The rising resistance and the severe side effects associated with classical anticancer drugs such as cisplatin or mercaptopurines has triggered the development of novel antitumourous agents based on transition metal (e.g. ruthenium, osmium, and gold) organ ...

EPFL2020

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

Algorithms and flowchart for the design of synthetic biochemical networks

Homa Mohammadi Peyhani

New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...

EPFL2020

Unfolding the prospects of computational (bio)materials modeling

Ignacio Pagonabarraga Mora

In this perspective communication, we briefly sketch the current state of computational (bio)material research and discuss possible solutions for the four challenges that have been increasingly identified within this community: (i) the desire to develop a ...

AMER INST PHYSICS2020

Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience

Auke Ijspeert, Alain Destexhe, Axel von Arnim, Marc-Oliver Gewaltig, Silvestro Micera, Emanuele Formento, Egidio Falotico, Lorenzo Vannucci, Shravan Tata Ramalingasetty, Maria Pasquini, Emmanouil Angelidis

Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all ...

FRONTIERS MEDIA SA2020

Multidisciplinary Preclinical Investigations on Three Oxamniquine Analogues as New Drug Candidates for Schistosomiasis

Ursula Röthlisberger, François Louis Mouvet

Schistosomiasis is a disease of poverty affecting millions of people. Praziquantel (PZQ), with its strengths and weaknesses, is the only treatment available. We previously reported findings on three lead compounds derived from oxamniquine (OXA), an old ant ...

WILEY-V C H VERLAG GMBH2020

The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models

Vassily Hatzimanikatis, Pierre Guy Rémy Salvy

Systems biology has long been interested in models capturing both metabolism and expression in a cell. We propose here an implementation of the metabolism and expression model formalism (ME-models), which we call ETFL, for Expression and Thermodynamics Flu ...

Nature Research2020

Comparison of computational methods for the electrochemical stability window of solid-state electrolyte materials

Matthieu Gilles Mottet, Aris Marcolongo

Superior stability and safety are key promises attributed to all-solid-state batteries (ASSBs) containing solid-state electrolyte (SSE) compared to their conventional counterparts utilizing liquid electrolyte. To unleash the full potential of ASSBs, SSE ma ...

Royal Society of Chemistry2020

Facile One-Pot Assembly of Push-Pull Imines by a Selective C-F Substitution Process in Aryl Fluorides

Shubhajit Das

Herein, we report the synthesis of a series of push-pull imines by considering cyclic diamino substituent at the C-centre and fluoroaryl substituent at the N-centre. This has been achieved by a selective aromatic nucleophilic substitution of different fluo ...

WILEY-V C H VERLAG GMBH2020

Synthesis, biology, computational studies and in vitro controlled release of new isoniazid-based adamantane derivatives

Stewart Cole, Anthony Vocat

Aim: There is a necessity for new drugs to be more efficient than today's standard due to the emergence of drug-resistant strains of Mycobacterium tuberculosis (Mtb) Results/methodology: 12 new isoniazid-based adamantane derivatives were synthesized and te ...

FUTURE SCI LTD2019

rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Jaume Bonet Martinez, Fabian Sesterhenn, Andreas Scheck

BackgroundLarge-scale datasets of protein structures and sequences are becoming ubiquitous in many domains of biological research. Experimental approaches and computational modelling methods are generating biological data at an unprecedented rate. The deta ...

2019

Advances in computational and statistical diffusion MRI

Alessandro Daducci

Computational methods are crucial for the analysis of diffusion magnetic resonance imaging (MRI) of the brain. Computational diffusion MRI can provide rich information at many size scales, including local microstructure measures such as diffusion anisotrop ...

2019