Fragment screening used to identify potential SARS-CoV-2 antivirals
Researchers have used fragment screening alongside computational docking to reveal 20 hit antiviral compounds against SARS-CoV-2.
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Researchers have used fragment screening alongside computational docking to reveal 20 hit antiviral compounds against SARS-CoV-2.
14 April 2021 | By Fluidigm
Watch our free on-demand webinar to learn more about using Imaging Mass Cytometry™ (IMC™) to measure over 40 protein targets with subcellular resolution.
8 April 2021 | By Beacon Discovery
Watch our on-demand webinar and learn from an industry expert regarding GPCR virtual screening approaches and challenges and much more.
A model of the SARS-CoV-2 Spike protein surface has uncovered vulnerabilities that researchers say could inform the development of COVID-19 vaccines.
Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
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Here, we present IDBS Polar, a platform that securely manages drug progression in contexts of workflow, integration and insight.
The isolation of microbial DNA is a key prerequisite for determining the microbiome profile of each body habitat.
Researchers have imaged the entire Survival Motor Neuron complex using X-ray diffraction analysis, among other techniques.
Insights into the interaction between telaprevir and the SARS-CoV-2 main protease could aid in future COVID-19 drug design, say scientists.
Working with RNA requires rigorous nuclease contamination controls in place. Stock up on Nuclease-Free tubes tips and buffers #Back2Lab
Achieve intact SARS-CoV-2 virus enrichment products. You only need a centrifuge, and the intact virus is enriched in less than 3 hours with very little hands-on time.
A novel machine learning method can explain how glycans stabilise proteins, aiding the discovery and design of protein-based drugs.
A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.