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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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Novel algorithm uses mass spec data to predict identity of molecules
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
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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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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.
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SARS-CoV-2 “Mexican variant” sequence analysed by researchers
Analysis of one million SARS-CoV-2 genome sequences has revealed a new variant named T478K, spreading mostly in Mexico.
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Computational method developed to map chromosome folding in 3D
Researchers created their new method to analyse chromosomes in 3D, revealing how misconfigurations play a role in cancer.
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GRP78 molecular chaperone revealed as drug target for COVID-19
Using computer modelling, a team has shown that a molecular chaperone called GRP78 could be targeted by drugs in strategies to treat COVID-19.
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Computational modelling reveals SARS-CoV-2 mutation ‘hotspots’
A new modelling method could be used as a surveillance tool to monitor emerging infectious SARS-CoV-2 variants, scientists say.
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How microfluidics can automate drug discovery and development
Researchers from the University of Minnesota have developed a 3D spherical microfluidic device. Here, Dr Ruitao Su explains how the new device can be used in drug discovery and development.
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Brochure: Diabetes Solutions
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Applying AI to microscopy shortens image processing to seconds
AI algorithms, light-field microscopy and light-sheet microscopy have been combined by researchers to image biological processes in 3D.