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The Editors’ views: Drug Target Review’s 2020 round-up
The Junior Editors of Drug Target Review, Victoria Rees and Hannah Balfour, discuss some of the most noteworthy news and announcements from this year.
List view / Grid view
Technology
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Computational mass spectrometry method accelerates speed of data acquisition
A new subspace mass spectrometry imaging method has enabled researchers to provide data sets exponentially faster.
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Combining deep computational learning and synthetic biology
Dr Diogo Camacho from the Wyss Institute at Harvard discusses new research into using machine learning algorithms to analyse RNA sequences and reveal potential drug targets.
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New virus-like probes could make COVID-19 tests more accurate and reliable
The novel probes, known as positive controls, could make it easier to validate rapid, point-of-care diagnostic tests for COVID-19 across the globe.
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Application note: Accurate measurements on the Octet platform without added sample purification steps
Bioanalytical systems have rapidly developed over the past 10 years for lead selection during cell-line development. The advanced technologies for the timely and cost-effective screening of antibodies or vaccines involve consideration of quantitation, kinetics and other critical quality attributes (CQA).
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Screening In-Depth Focus 2020
In this in-depth focus find out how genetic screening can be used to customise healthcare and why scientists have turned to machine learning in the fight against antimicrobial resistance.
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Using machine learning to guide and enhance bioengineering
The Automated Recommendation Tool (ART) uses machine learning to accelerate the development of cells for specified goals, eg, bioprocessing and bioproduction.
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Tool to track SARS-CoV-2 mutations could inform drug development
A new tool called COVID-3D that monitors SARS-CoV-2 genome mutations could aid drug and vaccine development, its creators say.
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AI holds promise to accelerate drug repurposing for COVID-19
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
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Potential in situ and in vivo bioprinting method developed by researchers
Researchers have developed a way for a microrobot to bioprint new cells directly onto gastric wounds inside the body, which they tested in cells.
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Translating novel drug success in animals to humans
A team has developed a predictive tool called TransComp-R which could be used to reveal whether new drugs that have been effective in animals will have positive outcomes in humans.
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Raman technique developed for high-throughput discovery of enzymes
A flow mode Raman-activated cell sorter called FlowRACS has been created by researchers for high-throughput discovery of enzymes and their cell factories.
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Team suggest bradykinin system could be targeted by COVID-19 drugs
Researchers say computational analyses suggest the bradykinin system may explain some of the symptoms of COVID-19, providing a drug target.
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Imaging and machine learning system created to discover tuberculosis drugs
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.