Google Deepmind is shedding light on the dark genome with its latest AI model, which is trained to decipher the 98% of DNA that does not code for proteins. Alphagenome is designed to predict how variants in the regulatory genome exert their effects on the expression of the genes they control.

Google Deepmind is shedding light on the dark genome with its latest AI model, which is trained to decipher the 98% of DNA that does not code for proteins. Alphagenome is designed to predict how variants in the regulatory genome exert their effects on the expression of the genes they control.

Google Deepmind is shedding light on the dark genome with its latest AI model, which is trained to decipher the 98% of DNA that does not code for proteins. Alphagenome is designed to predict how variants in the regulatory genome exert their effects on the expression of the genes they control.

LONDON – Each of six different COVID-19 vaccines given as booster doses were safe and increased immunity when administered after two doses of either Pfizer Inc.’s or Astrazeneca plc’s vaccine, according to the latest data from the U.K. Cov-Boost trial.

A whole genome sequencing study has been the first to demonstrate a strong association between infection with the avian influenza A virus H7N9 and rare, heterozygous single-nucleotide variants in the MX1 gene encoding for the myxovirus resistance protein A.

In infectious disease research, most of the research into genetic determinants of susceptibility to infection and disease severity are focused on the host. For COVID-19, for example, the delta variant’s infectivity, and how likely infection is to lead to severe disease, is the focus of an intense research agenda. But host genetics, too, contribute to the consequences of infections. An ongoing study into the host genetics of SARS-CoV-2 infection has identified 13 such factors that affected either the likelihood of contracting SARS-CoV-2, or the severity of disease, gleaned from the data of 50,000 infected persons and 2 million controls.