Using computational modelling to gain insights into flu viruses
Scientists at the University of Pittsburgh have been using computational modelling to understand the body’s immune responses to avian flu.
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Scientists at the University of Pittsburgh have been using computational modelling to understand the body’s immune responses to avian flu.
Scientists have received approval to work with a weakened, non-harmful version of SARS-CoV-2 in biosafety level 2 laboratories, which makes it more efficient to study the virus, and to identify new treatments.
The researchers found predictive protein patterns and links of maternal autoantibody–related autism spectrum disorder in the blood of expecting mothers.
Scientists have published a report on the whole genome sequences of 150 thousand participants in the UK biobank.
A new computer-based approach could help clinicians select the best combinations of broadly neutralising antibodies to treat HIV based on the virus’ genetics, while minimising the risk of the virus escaping treatment.
A new single-cell nanoparticle targeting-sequencing approach can measure the cellular uptake of lipid nanoparticles carrying mRNA therapies.
Researchers have found that current vaccine boosters offer sufficient immune protection against severe symptoms from Omicron.
Researchers have identified an important gene that could enable more targeted treatment for cancer.
Researchers from the US have identified several new small molecules that can induce mitophagy in leukaemia cells.
Researchers have found that a broadly neutralising antibody displays strong antiviral activities against Omicron BA.1, BA1.1 and BA.2.
The study has highlighted an important advance in using graphene for electrokinetic bio-sample processing and analysis.
New research has uncovered a hitherto unknown mechanism whereby chemokines form DNA-bound nanoparticles that play a key role in autoimmune disorders.
Researchers in the US have found that antibodies to the SARS-CoV-2 Spike protein can be produced in hen eggs.
Researchers for the first time have captured images of an autoantibody bound to a nerve cell surface receptor, revealing the physical mechanism behind a neurological autoimmune disease.
Researchers have developed a two-step approach using whole exome sequencing to focus on genes and pathways that predict whether cancer patients will respond to immunotherapy.