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AI method reveals 17 existing drugs that may fight against COVID-19
Scientists used artificial intelligence to identify 17 existing drugs that could kill SARS-CoV-2 in cells, including a dietary supplement.
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New biomarkers may help prevent diabetes-related blindness
US researchers have identified new biomarkers that can detect early changes in the eye that can lead to diabetes-related blindness.
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Application note: High-content phenotypic profiling using the cell painting assay
The cell painting assay uses up to six fluorescent dyes to label and visualize a variety of subcellular structures at the single cell level.
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Exclusive report: AI & Informatics: Drug discovery and development
In this original report, find an in-depth analysis of AI and informatics within imaging, synthetic biology, drug screening and drug design. Featured interviews with experts from AstraZeneca, Auransa, PolarisQB and Chalmers University of Technology.
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Artificial intelligence may reveal how microbiome affects vaccine response
Researchers have been using artificial intelligence to study how the microbiome interacts with the human system to improve vaccine response.
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Novel database could accelerate drug repurposing for various diseases
NICEdrug.ch is an open-access database that may help scientists assess potential drugs for a range of diseases more quickly.
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Utilising synthetic DNA technologies for high-throughput antibody discovery and optimisation
28 July 2021 | By Sartorius AG
In this on-demand webinar, our expert illustrates the utility of GPCR libraries and explains how to discover potent functional antibodies against multiple GPCR targets.
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ebook: High-Throughput Data Management in process development
Cell Line Development and cell culture process teams, are you geared up to leverage the vast amount of data generated by high-throughput?
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Artificial intelligence method generates synthetic active ingredients
A team in Switzerland have demonstrated how artificial intelligence could be used in the search for new pharmaceutical agents.
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Whitepaper: Buying a digital informatics system for your R&D?
Examining existing R&D processes with a consolidated approach enables the stop of disjointed workflows to engage on the digitisation journey.
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Bioactivity information of one million molecules compiled
Using deep machine learning, researchers have completed the activity profiles, from chemistry to clinical level, for one million molecules.
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The benefits of lab automation in life sciences
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.
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Digital revolution – not evolution – is the route to building back stronger after COVID-19
With a return to the workplace on the horizon for an increasing number of scientists, Richard Goodwin considers how COVID-19 will impact the ways research is conducted. One outcome he posits is the acceleration of the digital transformation that was already occurring in pharmaceutical R&D.
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Researchers visualise metabolic processes at the single-cell level
Scientists have used imaging methods and machine learning to understand cellular metabolism at the single-cell level.
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ebook: Why you need to digitally transform your R&D organisation
Despite many companies considering digital transformation a top priority, research shows that 70% of digital transformation initiatives fail. In this ebook, we explore why and how the right approach can see your organisation succeed.