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Machine learning method to design better antibody drugs developed
Researchers have developed an artificial intelligence to identify the best potential antibody drug from groups of up to a few thousand.
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Artificial Intelligence
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Imaging Mass Cytometry™ of malignant tissue architecture: rare single cells to structured multi-cellular communities
14 April 2021 | By Fluidigm
Watch our free on-demand webinar to learn more about using Imaging Mass Cytometry™ (IMC™) to measure over 40 protein targets with subcellular resolution.
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Expanding accessible chemical space through automated high-throughput experimentation
Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
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New in vitro assay developed to test potential NASH drugs
An assay that combines 3D disease models and automated AI-based fibrosis quantification could accelerate NASH drug discovery.
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AI method for generating new proteins could accelerate drug development
A novel artificial intelligence (AI) technique called ProteinGAN has shown success at studying well known proteins to develop new ones.
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Application note: Metagenomic analysis of the microbiome with MagMAX
The isolation of microbial DNA is a key prerequisite for determining the microbiome profile of each body habitat.
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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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Brochure: Dynabeads manual and automated SARS-CoV-2 enrichment
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.
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Method for analysing sugar-protein interactions could enable better biologics
A novel machine learning method can explain how glycans stabilise proteins, aiding the discovery and design of protein-based drugs.
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Machine learning calculates affinities of drug candidates and targets
A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.
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Novel deep learning tool developed to analyse microscopy images
An artificial intelligence platform has been created to enable tens of thousands of microscopy images to be generated in an hour.
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Catalogue: KingFisher APEX is the pinnacle of automated extraction
KingFisher APEX is our newest instrument for automation workflows for high throughput DNA and RNA extraction. With precision handling and touch screen interface.
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Catalogue: Ribosomal RNA from bacteria with RiboMinus
RiboMinus Bacteria 2.0 Transcriptome Isolation Kits perform efficient transcriptome enrichment from total bacterial RNA. Improve your RNA extraction from bacteria today.
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AI-based method used to screen for Alzheimer’s disease drugs
Researchers have used artificial intelligence to screen 80 FDA-approved drugs and reveal which could be used as Alzheimer's treatments.
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NOX5: a novel target for sensitising melanoma to therapies
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.
