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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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Whitepaper: Why BioPharma Lifecycle Management?
In this whitepaper we explore some of the major bottlenecks in the development lifecycle and the current barriers to effective digital transformation.
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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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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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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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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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Scientists unveil virtual reality tool for COVID-19 drug development
The tool uses interactive molecular dynamics simulations in virtual reality (iMD-VR) to allow researchers to step inside SARS-CoV-2 enzymes and visualise molecules binding to them.
whitepaper
ebook: Eliminate 50/60 Hz line-frequency noise in less than one second
A major challenge within electrophysiology labs is 50 or 60 Hz line frequency electrical noise, which can either distort or completely drown out biological signal.
