Multimodal imaging and high-throughput image-processing for drug screening on living organisms on-chip

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The application of computational biology in drug development for membrane protein targets has experienced a boost from recent developments in deep learning-driven structure prediction, increased speed and resolution of structure elucidation, machine learni ...

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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 ...

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Fluorescence-activated droplet sorting (FADS) is a widely used microfluidic technique for high-throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, and this results in a large combinatorial space th ...

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 ...

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Genetic and cellular drivers of the cellular uptake of SARS-CoV-2 can be screened at high throughput via droplet microfluidics and size-exclusion methods for the analysis of the formation of fusions between cells expressing the virus's spike protein and ce ...

Multimodal imaging and high-throughput image-processing for drug screening on living organisms on-chip

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

Cyclic Peptides for Drug Development

Improved microfluidic transcriptome based screening methods

Methods for high-throughput synthesis and screening of peptide libraries

From Sequence to Dynamics to Function: Computational Design of Allostery and Ligand Selectivity in G-Protein Coupled Receptors

Computational drug development for membrane protein targets

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

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

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

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

Method for hormone or drug screening in a tissue sample

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

Effective Inhibition of TDP-43 Aggregation by Native State Stabilization

Alchemical analysis of FDA approved drugs

Artificial intelligence for natural product drug discovery

Atomic scale volume and grain boundary diffusion elucidated by in situ STEM

iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology

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

Microfluidic devices for automated analysis of ingested bacteria in the Caenorhabditis elegans intestine

Screening for drivers of SARS-CoV-2 uptake