A US team has designed a high-quality, high-speed imaging system that could lead to new understandings of complex tissue specimens.
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Massachusetts Institute of Technology (MIT)
The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.
The molecular structure of the SARS-CoV-2 Envelope protein has been identified by researchers using nuclear magnetic resonance.
The developers of a temporary coating which adheres to the small intestine demonstrated it could be modified to deliver drugs, aid digestion and stop absorption of glucose.
A team has developed a predictive tool called TransComp-R which could be used to reveal whether new drugs that have been effective in animals will have positive outcomes in humans.
A new study has revealed that less than 10 percent of respiratory and intestinal cells are susceptible to SARS-CoV-2 infection and expression of ACE2 receptors is driven by the body's immune response.
Research into the M2 proton channel of influenza B has revealed its structure, which the team hope can aid in the development of targeted therapeutics to block the channel and treat the condition.
A study has revealed an enzyme in bacteria that produces a molecule which is toxic to other bacteria and shows promise as an antibiotic substitute.
A study has demonstrated that the stiffness of cells indicates whether a tumour will spread and inducing this state could help to avoid metastasis.
A team from MIT sequenced bacteria samples from the digestive system which can be accessed by researchers to use in the development of treatments.