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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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.
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New podcast on SARS-CoV-2 molecular testing: From human sample analysis to Wastewater Surveillance.
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See our guide on DNA purification methods. From organic extraction through automated high-throughput runs, these research solutions make sample preparation easy.
Researches have provided a proof-of-concept that proteomic analysis could be used to identify drivers of aggressive cancers.
Researchers have used artificial intelligence to screen 80 FDA-approved drugs and reveal which could be used as Alzheimer's treatments.
A novel in silico approach applied to drug screening has revealed three potential candidates that may interact with multiple proteins of SARS‐CoV‐2.
A new coarse-grained model of the complete SARS-CoV-2 virion has revealed potential new ways to combat the coronavirus.
A team has demonstrated that their bioinformatics approach, PlasmidHawk, can analyse DNA sequences to identify the source of engineered plasmids.
Researchers have developed a new technique called mim-tRNAseq to measure, map and analyse tRNAs in cells, providing insight into disease.
Researchers have used computer simulations to model how the SARS-CoV-2 fusion peptide interacts with and penetrates the cell membrane.
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