Tuberculosis drugs: new candidates and how to find more

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Influenza viruses pose a significant threat due to annual epidemics and pandemic potential. Resistance to current antivirals underscores the need for new drugs and strategies to prevent its emergence. We previously developed two novel HA-targeting compound ...

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 ...

The invention provides microfluidic screening systems for the identification of compounds or compositions influencing cellular transcriptomes. The invention is predicated upon taking into account differences in newly synthesized mRNA in contrast to so call ...

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 ...

The role of Bifidobacterium species and microbial metabolites such as short-chain fatty acids (SCFAs) and human milk oligosaccharides in controlling intestinal inflammation and the pathogenesis of obesity and type 1 diabetes (T1D) has been largely studied ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

Background: The COVID-19 pandemic disrupted the delivery of diabetes care and worsened mental health among many patients with type 2 diabetes (T2D). This disruption puts patients with T2D at risk for poor diabetes outcomes, especially those who experience ...

Investigating the dynamic activities of protein expression and signaling in living organisms is a crucial focus of intense research aimed at elucidating the processes that underlie disease progression and improving treatments and drug development. Resolvin ...

Retinoblastoma is the most common pediatric eye cancer. It is currently treated with a limited number of drugs, adapted from other pediatric cancer treatments. Drug toxicity and relapse of the disease warrant new therapeutic strategies for these young pati ...

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 ...

Type 2 diabetes mellitus (T2DM) can be multifactorial where both genetics and environmental factors play a role. We aimed to investigate the use of polygenic risk scores (PRS) in the prediction of pre-transplant T2DM and post-transplant diabetes mellitus ( ...

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 ...

Tuberculosis drugs: new candidates and how to find more

Chattez avec Graph Search

Influenza A(H1N1)pdm09 virus resistance to baloxavir, oseltamivir and sialic acid mimetics in single and dual therapies: Insights from human airway epithelia and murine models

Methods for high-throughput synthesis and screening of peptide libraries

Improved microfluidic transcriptome based screening methods

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

Innovative Biomarkers for Obesity and Type 1 Diabetes Based on Bifidobacterium and Metabolomic Profiling

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

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

Machine learning-aided generative molecular design

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

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

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

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

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

Method for hormone or drug screening in a tissue sample

Technology-Enabled Collaborative Care for Concurrent Diabetes and Distress Management During the COVID-19 Pandemic: Protocol for a Mixed Methods Feasibility Study

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

Translational screening platform to evaluate chemotherapy in combination with focal therapy for retinoblastoma

Effective Inhibition of TDP-43 Aggregation by Native State Stabilization

Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort

Artificial intelligence for natural product drug discovery