The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.
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Massachusetts Institute of Technology (MIT)
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.