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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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Informatics
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ebook: Vaccines in the digital age
In this ebook, we’ll see how digitally enabling your organisation can increase capacity and improve vaccine production.
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Platform reveals insights into cancer genomics and personalised medicine
Researchers have developed a personalised medicine platform that could advance genomic medicine research for cancer.
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New ion trap used to create highly accurate mass spectrometer
Researchers have developed a new mass spectrometer that uses rotation frequencies of ionised molecules to measure mass with high accuracy.
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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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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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Drug screening reveals pralatrexate could be repurposed to treat COVID-19
Computational drug screening has shown that chemotherapy drug pralatrexate could potentially be repurposed to treat COVID-19.
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A computational effort to deciphering putative COVID-19 3C-like protease binders
Dr Isaac Karimi and his team explain how compounds to treat COVID-19 could be found in Kurdish ethnomedicine, selecting some plants for computational drug discovery.
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Researchers develop drug discovery tool for RNA
Scientists have created a drug discovery platform that enables the discovery and optimisation of RNA-targeting compounds.
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Researchers develop computer algorithm to identify cancer cell lines
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
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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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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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Computational model used to predict drug targets against SARS-CoV-2
A model of a human lung cell has been used to understand how SARS-CoV-2 uses host cell processes to reproduce, revealing drug targets.
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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.
