The prestigious scientific journal Nature recently highlighted the emergence of a groundbreaking AI tool capable of creating a protein 'atlas' on an unprecedented scale in the history of biological research.
Developments
The tool has been used to predict the structures of over one billion proteins and decode billions of other protein sequences. This represents a massive treasury of data, far exceeding any existing protein database. Digitizing and predicting protein structures on this scale provides scientists with a panoramic view of life's 'structural space,' helping them identify proteins with unique functions that nature has hidden for millions of years.
Why it matters
Data is the 'fuel' for AI. Creating a map of 1 billion protein structures is not just a technical milestone, but also an invaluable resource for the global research community. In Vietnam, scientists can access this data to conduct comparative studies or search for new enzymes for industrial and medical applications without incurring the high costs of large-scale genetic sequencing from the outset.