Catalogue: Nuclease-Free tubes, tips & buffers
Working with RNA requires rigorous nuclease contamination controls in place. Stock up on Nuclease-Free tubes tips and buffers #Back2Lab
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Working with RNA requires rigorous nuclease contamination controls in place. Stock up on Nuclease-Free tubes tips and buffers #Back2Lab
Achieve intact SARS-CoV-2 virus enrichment products. You only need a centrifuge, and the intact virus is enriched in less than 3 hours with very little hands-on time.
A novel machine learning method can explain how glycans stabilise proteins, aiding the discovery and design of protein-based drugs.
A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.
An artificial intelligence platform has been created to enable tens of thousands of microscopy images to be generated in an hour.
KingFisher APEX is our newest instrument for automation workflows for high throughput DNA and RNA extraction. With precision handling and touch screen interface.
RiboMinus Bacteria 2.0 Transcriptome Isolation Kits perform efficient transcriptome enrichment from total bacterial RNA. Improve your RNA extraction from bacteria today.
Researchers have used artificial intelligence to screen 80 FDA-approved drugs and reveal which could be used as Alzheimer's treatments.
Vito Quaranta, professor of biochemistry and pharmacology, discusses how cancerous cells adopting novel mechanisms of energy production could be sensitised to existing therapies with a focus on melanoma.
A team has developed a machine learning approach to screen for and identify drugs that could be repurposed against COVID-19 in the elderly.
A study has used artificial intelligence to reveal adeno-associated virus (AAV) capsid variants for use in gene therapies.
A new phenotype-based compound screening technology, called DeepCE, identified 10 compounds that could be repurposed for COVID-19.
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.
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.