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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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Informatics
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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.
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New algorithm could make CRISPR gene editing more precise
Researchers have created an algorithm that can predict the efficiencies of guide RNAs for CRISPR, potentially making it more precise.
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Brochure: Neuroscience solutions
Complete solutions for neurological disease research and discovery - helping you to better understand diseases to improve patient outcomes.
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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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Brochure: Diabetes Solutions
Solutions to aid understanding of cellular and molecular pathways in diabetes and translate these findings into prevention and treatment strategies.
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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.
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Simulations and fragment screening reveal binding sites on tubulin protein
A combination of computer simulations and fragment screening have uncovered 27 molecular binding sites on tubulin, a protein of the cell cytoskeleton.
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Computational epitope map of SARS-CoV-2 Spike protein developed
Researchers have produced a computational simulation of the SARS-CoV-2 Spike protein, finding spots that glycans do not cover.
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Lab of the Future to be 50 percent virtual by 2030, survey indicates
Findings from a survey have shown 72 percent of respondents in the life sciences industry think the Lab of the Future will embrace virtual working.
