New technique developed for identifying therapeutic nanobodies
Researchers have used a new method for discovering nanobodies to identify potential therapeutics against SARS-CoV-2 infection.
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Researchers have used a new method for discovering nanobodies to identify potential therapeutics against SARS-CoV-2 infection.
A study has shown that blocking the gene expression of MAGEA3 in liver cancer cells prevents the tumour from proliferating.
In cell cultures, a compound named STM2457 was shown to interfere with coronavirus replication, making it a potential treatment for SARS-CoV-2.
In non-human primates, researchers have found that mesenchymal stem cells were effective at strengthening the immune response to HIV.
A screening campaign has revealed that small molecule inhibitors of the SOX 11 oncogene are toxic to mantle cell lymphoma in vitro.
A new mRNA-based vaccine has demonstrated success at protecting against multiple coronaviruses in pre-clinical studies.
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
A small molecule found in a cell-based ultra-high-throughput screening campaign was shown to treat diabetes in cells and mice.
In mice and hamsters, therapies made from two antibodies were found to be mostly effective against a range of SARS-CoV-2 variants.
Researchers have screened bacteria in the gut, finding that Bifidobacteria have inhibitory activity against SARS-CoV-2.
Researchers have developed a native state mass spectrometry technique to identify inhibitors of the bacterial protein metallo-beta-lactamase.
A National Science and Technology Council and Office for Science and Technology Strategy will be established to aid the UK's scientific industry.
A new mRNA vaccine based on the malaria circumsporozoite protein was shown to elicit a robust immune response in mice.
Lung spheroid cells can act as nanodecoys for the SARS-CoV-2 Spike protein to bind to, according to a new pre-clinical study.
Scientists have used imaging methods and machine learning to understand cellular metabolism at the single-cell level.