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Application note: Metagenomic analysis of the human microbiome
Isolate high-quality, inhibitor-free DNA and RNA from human stool and other sample types suitable for metagenomics sequencing.
List view / Grid view
Analytical techniques
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ebook: How FBDD improves hit rates & delivers high-value targets
Learn how fragment-based drug discovery improves hit rates and delivers higher-value targets using various biophysical methods.
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Seeing the light – visualising protein translation in real time
Non-invasive imaging has played an increasing role in drug discovery and development processes. Nikki Withers spoke with Yochi Slonim, who discusses a novel technology that leverages FRET signals for the discovery of small molecule drugs that selectively control mRNA translation in a novel target space.
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Data, data and still more data: the challenges of imaging and analysing 3D cell models
The latest generation of three-dimensional (3D) cell models offer new and exciting possibilities for pharmaceutical research. However, deciding how to capture sufficient information in the most efficient way from an experiment without making the data size overwhelming can prove challenging. Margaritha Mysior and Jeremy Simpson discuss the opportunities and challenges…
webinar
Cell-based Surface Plasmon Resonance with AstraZeneca
4 June 2020 | By Biosensing Instrument
In this webinar, we will provide an overview of the technology with some application examples and also see a case study how AstraZeneca is exploring SPRM for studies on G-protein-coupled receptors (GPCR) in close collaboration with Biosensing Instrument.
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High-throughput screening as a method for discovering new drugs
High-throughput screening is a common method of identifying lead compounds for drug development. The most common targets are enzymes – catalytic proteins that perform chemical reactions in the cell. In this article, Matthew Lloyd discusses the opportunities and challenges associated with this approach.
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If Columbus had a map… guiding the discovery of new drugs
Exploring large databases and selecting compounds of interest can be extremely time-consuming for researchers. Here, Sacha Javor, Horst Flotow and Jingwen Shi discuss a novel chemoinformatics approach for drug discovery.
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Current state of NAFLD treatments and the promise of in vitro platforms towards better screening of drug candidates
The heterogeneous pathogenesis of metabolic fatty liver diseases presents researchers with numerous challenges when trying to develop a treatment. This article explores the spectrum of these diseases and presents a novel in vitro platform for screening drug candidates.
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Guide: Five ways biophysical tools help brain studies
Learn why researchers turned to biophysical methods to expose the molecular mechanisms of neurodegenerative diseases.
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Researchers identify 27 biomarkers of COVID-19 disease severity
Mass spectrometry revealed biomarkers that could be used as drug targets for developing novel therapeutics or to predict whether a patient with COVID-19 will become severely ill.
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Expert view: High-throughput analytics for smarter cell-line development
Combine titer and glycan screening during clone selection and cell culture optimisation to make more informed choices sooner, significantly reducing the development time for therapeutic antibodies.
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Imaging In-Depth Focus 2020
The articles in this in-depth focus discuss the difficulties in deciding what information to capture when imaging three-dimensional (3D) cell models and the use of non-invasive imaging techniques to discover small molecule drugs to control protein translation.
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Dynamics of GPCRs revealed using combination of approaches
A team used both structural and spectroscopic techniques to study the dynamics of cell surface G-protein coupled receptors (GPCRs).
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ebook: How to start your own lab
Learn practical tips from eight Principal Investigators about how to start your own lab.
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Study reveals potential targets for upper motor neuron disease therapies
The researchers revealed the mechanism by which signalling becomes dysfunctional in upper motor neuron (UMN) diseases, such as amyotrophic lateral sclerosis (ALS).
