Publications associées à Who will develop new antibacterial agents?

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

Deconvolution of ex-vivo drug screening data and bulk tissue expression predicts the abundance and viability of cancer cell subpopulations

Alexandre Coudray

Ex-vivo drug sensitivity screening (DSS) allows the prediction of cancer treatment effectiveness in a personalized fashion. However, it only provides a readout on mixtures of cells, potentially occulting important information on clinically relevant cell su ...

EPFL2023

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Philippe Schwaller, Jeff Guo

Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy a desired objective under minimal calls to oracles (computational property predictors). This problem becomes more apparen ...

Amer Chemical Soc2024

Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform

Sandor Kasas, Eric Delarze, Florian Tagini, Gino Cathomen, Anthony Vocat, Laura Munch

Antimicrobial resistance (AMR) is a major public health threat, reducing treatment options for infected patients. AMR is promoted by a lack of access to rapid antibiotic susceptibility tests (ASTs). Accelerated ASTs can identify effective antibiotics for t ...

Nature Portfolio2024

Homogeneous vs. heterogeneous photo-Fenton elimination of antibiotic-resistant bacteria bearing intracellular or extracellular resistance: Do resistance mechanisms interfere with disinfection pathways?

César Pulgarin, Stefanos Giannakis, Truong-Thien Melvin Le, Jérémie Decker

The present study aimed to fill the knowledge gap between the implications of intracellular and extracellular antibiotic resistance mechanisms may inflict on the inactivation pathways of the photo-Fenton process under mild conditions. It was thus designed ...

Elsevier Sci Ltd2024

Machine learning-aided generative molecular design

Philippe Schwaller, Jeff Guo

Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...

Nature Portfolio2024

Implementing water recirculation in a novel portable plasma-activated water reactor enhances antimicrobial effect against Escherichia coli

Alan Howling, Ivo Furno, Fabio Avino, Lorenzo Ibba, Rita Agus, Leonardo Zampieri, Brayden Graham Myers

The need for sustainable and reliable decontamination methods is driven by concerns regarding antibiotic resistance, as well as environmental and cost -efficiency challenges associated with traditional methods. Plasmaactivated water (PAW) holds significant ...

Elsevier Science Sa2024

Optimised three-dimensional in vitro retinoblastoma models tailored for drug discovery and clinical translatability

Irina Sinenko

Retinoblastoma, while relatively rare, stands as the most prevalent intraocular cancer. In Switzerland, the survival rate approaches 100%, but it drops to less than 50% in low-income countries. The current treatment options for retinoblastoma rely on a lim ...

EPFL2023

Simple optical nanomotion method for single-bacterium viability and antibiotic response testing

Sandor Kasas, María Inés Villalba, Allan Bonvallat, Eugenia Rossetti

Antibiotic resistance is nowadays a major public health issue. Rapid antimicrobial susceptibility tests (AST) are one of the options to fight this deadly threat. Performing AST with single-cell sensitivity that is rapid, cheap, and widely accessible, is ch ...

National Academy of Sciences2023

The predictive capacity of in vitro preclinical models to evaluate drugs for the treatment of retinoblastoma

Paul Joseph Dyson, Irina Sinenko, Roland Christopher Turnell-Ritson

Retinoblastoma is a rare childhood cancer of the eye. Of the small number of drugs are used to treat retinoblastoma, all have been repurposed from drugs developed for other conditions. In order to find drugs or drug combinations better suited to the improv ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023

Glacier-Fed Stream Biofilms Harbor Diverse Resistomes and Biosynthetic Gene Clusters

Leïla Ezzat, Vincent Henri De Staercke, Tom Ian Battin, Paraskevi Pramateftaki, Hannes Markus Peter, Matteo Tolosano, Michail Styllas, Tyler Joe Kohler, Stylianos Fodelianakis, Massimo Bourquin, Susheel Bhanu Busi, Grégoire Marie Octave Edouard Michoud

Antimicrobial resistance is an omnipresent phenomenon in the anthropogenically influenced ecosystems. However, its role in shaping microbial community dynamics in pristine environments is relatively unknown. ...

AMER SOC MICROBIOLOGY2023

Antimicrobial susceptibility testing with integrated photonic crystal optical tweezers

Nicolas Villa

The abusive use of antimicrobial drugs during the last eighty years has favoured the natural selection of resistant pathogens able to neutralise drugs efficiently. Nowadays, antimicrobial resistance contributes to millions of deaths yearly, threatens the e ...

EPFL2023

Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism

Daniel Gatica-Perez

The extractive logic of Big Data-driven technology and knowledge production has raised serious concerns. While most criticism initially focused on the impacts on Western societies, attention is now increasingly turning to the consequences for communities i ...

Sage Publications Inc2023

Advancing first principle-based molecular dynamics of biological systems with machine learning

François Louis Mouvet

Molecular dynamics (MD) simulations have emerged as a transformative approach to analyse molecular systems at the atomic level, offering valuable insights into complex biological processes. Many biological phenomena can only accurately be described by inco ...

EPFL2023

Elucidating and modulating regulatory pathways so as to reprogram the immunosuppressive tumor microenvironment for therapeutic benefit

Agnieszka Alicja Chryplewicz

Glioblastoma (GBM) is the most frequent and highly malignant form of brain cancer. New therapeutic regimens are urgently needed as GBM patients present with a minimal response to currently-approved therapies. The goal of this project is to identify new the ...

EPFL2023

Alchemical analysis of FDA approved drugs

Jean-Louis Reymond, Philippe Schwaller, Markus Orsi, Daniel Probst

Chemical space maps help visualize similarities within molecular sets. However, there are many different molecular similarity measures resulting in a confusing number of possible comparisons. To overcome this limitation, we exploit the fact that tools desi ...

2023

DNA modifications impact natural transformation of Acinetobacter baumannii

Christian Iseli, Nicolas Jean Philippe Guex, Melanie Blokesch, Nina Vesel, Alexandre Lemopoulos

Acinetobacter baumannii is a dangerous nosocomial pathogen, especially due to its ability to rapidly acquire new genetic traits, including antibiotic resistance genes (ARG). In A. baumannii, natural competence for transformation, one of the primary modes o ...

2023

Rational design of protein switches: applications in synthetic biology and cancer immunotherapy

Sailan Shui

Synthetic biology aims to engineer cells as miniature biological devices to sense, process, and respond to exogenous stimuli. Protein switches are designed to sense and respond to various molecular queues in a fast and specific manner, which fits the requi ...

EPFL2022

Repurposed drug combination via high-throughput screening and dual drug delivery system development for the treatment of retinoblastoma

Po-Jen Tseng

The goal of retinoblastoma (RB) treatment is to save the child's life, eyes and functional vision, with that order of priority. The management of RB is complex and involves strategically chosen methods of surgical enucleation, external beam radiotherapy, i ...

EPFL2022

Identification of genes required for host-cell adhesion and antibiotic persistence of uropathogenic Escherichia coli via high-content screening

Thomas Marie Simonet

Uropathogenic Escherichia coli (UPEC) are the most common bacterial pathogens causing urinary tract infections (UTIs). Driven by the development of antibiotic resistant UPEC strains, UTIs have become a major public health issue and generate substantial hea ...

EPFL2022