Discover how workflows are being accelerated to speed up the vaccine research and development process while maintaining safety and immunogenicity.
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In this article, Ramya Sriram describes how data science is driving innovations in medical biotechnology and genomics.
Computational drug screening has shown that chemotherapy drug pralatrexate could potentially be repurposed to treat COVID-19.
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.
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
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.
An artificial intelligence (AI) system called AlphaFold has been developed to effectively predict protein structures and folding.
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.
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.
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.
A new interactive map of the surface of SARS-CoV-2, featuring the Spike, Envelope and Membrane proteins, has been released for researchers to use.
24 September 2020 | By PerkinElmer
During this on-demand webinar, two leading researchers will discuss their innovative approaches to developing novel opportunities for immunotherapy treatments.