Publications related to Lead selection and characterization of antitubercular compounds using the Nested Chemical Library

Related publications (29)

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

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

Drug Screening in C. elegans to identify new pharmacological mitochondrial stress inducers

Amélia Lalou

Mitochondria are essential organelles participating in numerous cellular functions, including energy harvesting, regulation of homeostasis and apoptosis. Changes in mitochondrial number, morphology, and function not only impact cellular metabolism but also ...

EPFL2024

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

Jacques Fellay, Zhi Ming Xu

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. We aim ...

Nature Portfolio2024

Single-cell analysis of the interactions between Mycobacterium tuberculosis and macrophages

Ophélie Rutschmann

Mycobacterium Tuberculosis is a highly effective pathogen infecting nearly a third of the world's population. An M. tuberculosis infection starts when droplets containing bacteria enter an individual's lungs. The first host cells to contact the bacteria ar ...

EPFL2024

Methods for high-throughput synthesis and screening of peptide libraries

Zsolt Bognár

Macrocycles provide an attractive modality for drug development but the identification of ligands to targets of interest is hindered by the lack of large macrocyclic compound libraries for high-throughput screening. A strategy to efficiently synthesize lar ...

EPFL2024

Augmenting large language models with chemistry tools

Andres Camilo Marulanda Bran, Carlo Baldassari, Philippe Schwaller, Oliver Tobias Schilter

Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ...

Nature Portfolio2024

Human alveolar lining fl uid from the elderly promotes Mycobacterium tuberculosis intracellular growth and translocation into the cytosol of alveolar epithelial cells

Vivek Vijay Thacker, Richa Mishra

The elderly population is highly susceptible to developing respiratory diseases, including tuberculosis, a devastating disease caused by the airborne pathogen Mycobacterium tuberculosis ( M.tb ) that kills one person every 18 seconds. Once M.tb reaches the ...

Elsevier Science Inc2024

A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers

Christoph Bostedt, Camila Bacellar Cases Da Silveira

Serial crystallography at X-ray free-electron lasers (XFELs) permits the determination of radiation-damage free static as well as time-resolved protein structures at room temperature. Efficient sample delivery is a key factor for such experiments. Here, we ...

Nature Portfolio2023

Nanomole-scale photochemical thiol-ene chemistry for high-throughput late-stage diversification of peptide macrocycles

Alexander Lund Nielsen, Mischa Schüttel

The photochemical thiol-ene reaction is an efficient method for rapid and chemoselective formation of thioether linkages under mild conditions. It has found widespread use in small-molecule synthesis as well as peptide and protein chemistry. While high-thr ...

WILEY2023

Investigating the composition and recruitment of the mycobacterial ImuA'-ImuB-DnaE2 mutasome

John McKinney, Neeraj Dhar

A DNA damage-inducible mutagenic gene cassette has been implicated in the emergence of drug resistance in Mycobacterium tuberculosis during anti-tuberculosis (TB) chemotherapy. However, the molecular composition and operation of the encoded 'mycobacterial ...

Elife Sciences Publ Ltd2023

Artificial intelligence for natural product drug discovery

Philippe Schwaller, Albert Hofstetter, Michael Alexander Skinnider, Florian Huber

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to e ...

Nature Portfolio2023

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

Method for hormone or drug screening in a tissue sample

Cathrin Brisken, Christoph Merten, Yueyun Zhang

The present invention relates to a method for analyzing cellular responsiveness to hormones or drags in a tissue sample based on an alginate-based 3D ex vivo culture system for normal and malignant tissue microstructures and uses thereof. ...

2023

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

Effective Inhibition of TDP-43 Aggregation by Native State Stabilization

Hilal Lashuel, Yllza Jasiqi, Lixin Yang

Preventing the misfolding or aggregation of transactive response DNA binding protein with 43 kDa (TDP-43) is the most actively pursued disease-modifying strategy to treat amyotrophic lateral sclerosis and other neurodegenerative diseases. In this work, we ...

Wiley-VCH Verlag GmbH2024

Back-to-Africa introductions of Mycobacterium tuberculosis as the main cause of tuberculosis in Dar es Salaam, Tanzania

Jacques Fellay, Zhi Ming Xu

In settings with high tuberculosis (TB) endemicity, distinct genotypes of the Mycobacterium tuberculosis complex (MTBC) often differ in prevalence. However, the factors leading to these differences remain poorly understood. Here we studied the MTBC populat ...

PUBLIC LIBRARY SCIENCE2023

Development of methods for the synthesis of large combinatorial libraries of macrocyclic compounds

Mischa Schüttel

Macrocycles have raised much interest in the pharmaceutical industry due to their ability to bind challenging targets while often still being able to cross membranes to reach intracellular proteins. However, the development of macrocyclic ligands to new di ...

EPFL2023

Generating macrocyclic inhibitors of protein-protein interactions

Gontran Sangouard

Protein-protein interactions (PPIs) play important roles in many diseases and their modulation is an attractive strategy for developing new therapeutics. However, the relatively large and often flat binding surfaces of PPIs makes the development of inhibit ...

EPFL2022

Novel High-Throughput Fluorescence-Based Assay for the Identification of Nematocidal Compounds That Target the Blood-Feeding Pathway

Nicola Harris, Gerardo Turcatti, Marc Chambon, Anthony Marchand, Tiffany Babette Angélique Bouchery, Mati André Marie Moyat

Hookworm infections cause a neglected tropical disease (NTD) affecting ~740 million people worldwide, principally those living in disadvantaged communities. Infections can cause high morbidity due to their impact on nutrient uptake and their need to feed o ...

2022

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