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Machine learning identifies drugs to repurpose against COVID-19
A team has developed a machine learning approach to screen for and identify drugs that could be repurposed against COVID-19 in the elderly.
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Artificial Intelligence
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Machine learning used to generate AAV capsids for gene therapy
A study has used artificial intelligence to reveal adeno-associated virus (AAV) capsid variants for use in gene therapies.
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Novel AI tool takes a DeepCE dive into potential drugs for COVID-19
A new phenotype-based compound screening technology, called DeepCE, identified 10 compounds that could be repurposed for COVID-19.
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AI advancing drug discovery: the future is multi-cellular studies
Drs Sam Cooper and Michael Briskin of Phenomic AI, discuss how artificial intelligence (AI) is enabling them to target multi-cellular interactions, such as those in the tumour stroma, for drug development.
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Artificial intelligence analyses how viruses evade the immune system
The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.
whitepaper
Whitepaper: Virus vaccine research – accelerated workflows
Discover how workflows are being accelerated to speed up the vaccine research and development process while maintaining safety and immunogenicity.
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How data science is driving genomics in the pharmaceutical industry
In this article, Ramya Sriram describes how data science is driving innovations in medical biotechnology and genomics.
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Antimicrobial resistance – a public health emergency on the horizon
Researchers at Ingenza and the University of Plymouth are using a machine learning and high‑throughput screening approach to discover novel antimicrobial therapies. In this article, Nikki Withers spoke to one of the researchers, Jack Kay, to hear about the current threat posed by antimicrobial resistance and how he hopes their…
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Breakthrough in AI protein structure and folding prediction
An artificial intelligence (AI) system called AlphaFold has been developed to effectively predict protein structures and folding.
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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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Under the microscope: Searching for optimised drugs: combining AI with human expertise
Applying artificial intelligence (AI) to small molecule drug discovery can provide a more rapid and cost‑effective route to discovering drug candidates. Here, Martin Redhead, Head of Quantitative Pharmacology at Exscientia, discusses the role of AI in drug discovery, the processes involved and how it can be used to address the…
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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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Drug side effects: an open source tool to predict adverse reactions
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
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From inception to conclusion: how digitalisation is impacting drug development
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
