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The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.
Discover how workflows are being accelerated to speed up the vaccine research and development process while maintaining safety and immunogenicity.
In this article, Ramya Sriram describes how data science is driving innovations in medical biotechnology and genomics.
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…
An artificial intelligence (AI) system called AlphaFold has been developed to effectively predict protein structures and folding.
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.
The Automated Recommendation Tool (ART) uses machine learning to accelerate the development of cells for specified goals, eg, bioprocessing and bioproduction.
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…
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
26 June 2020 | By Tecan
This webinar described the recent efforts to identify small molecule therapeutics for the treatment of SARS-CoV-2 infection and COVID-19 disease.
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
The high-throughput screening (HTS) facility at the Francis Crick Institute in the UK provides a core service for Crick research groups. It enables scientists to use large-scale, unbiased screening technologies and approaches as part of their research. Nikki Withers spoke to the Science Technology Platform Head, Michael Howell, to hear…
