Alphabet’s DeepMind predicts nearly every protein structure known to science
Alphabet’s DeepMind announced its AlphaFold software in 2020, and since then it has been used to create the AlphaFold Protein Structure Database (AlphaFold DB). It consists of highly accurate protein structures predicted by software. This database has been accessed by researchers to tackle real-world problems like plastic pollution, antibiotic resistance, etc. DeepMind has now partnered with the European Laboratory of Molecular Biology (European Laboratory of Molecular Biology). EMBL) to give the predicted structures of nearly all the classified proteins known to science. AlphaFold DB currently holds over 200 million structures. The applications of these findings in various scientific fields are endless.
DeepMind revealed on Thursday that AlphaFold has guess almost all the proteins known to science. The predicted new proteins include the structures of plants, bacteria, animals and other organisms. These could open new avenues for researchers trying to tackle important issues such as sustainability, food insecurity and neglected diseases.
“… AlphaFold has accelerated and enabled enormous discoveries, including disrupting the structure of the nuclear hole complex. And with the addition of this new structure illuminating nearly the entire protein universe, they We can expect more biological mysteries to be solved every day.” Eric Topol, Founder and Director of the Scripps Research Translational Institute.
AlphaFold DB works similar to the Google search engine for researchers. It gives them instant access to predictive models of proteins. These models have been reported to be cited in research as important as finding a cure Parkinson disease and develop a malaria vaccine.
DeepMind CEO Demis Hassabis believes, “…[that] AI could become the right technique to deal with the dynamic complexity of biology. “According to the company, more than 500,000 researchers across 190 countries have accessed AlphaFold DB. DNDI) to “find life-saving cures for diseases like Leishmaniasis and Chagas disease that disproportionately affect people,” said the company. in poorer parts of the world.”