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previous RNA virus discovery projectsSingularity Hub
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78% Informative
A new AI program has identified 70,458 new RNA viruses from samples all over the globe.
The program relies on large language models to predict protein structures based on their amino acid “letters” ESMFold predicts 3D structures of proteins at the atomic level.
For its first real-life task, scientists used the AI to decode the “dark matter” of proteins in microbes we know little about.
LucaProt was trained on nearly 6,000 sequences encoding RdRP proteins and over 229,500 sequences known to encode different proteins.
The AI was exceptionally accurate, returning false positives only 0.014 percent of the time.
It identified 60 different viral groups, each highly different than all known viruses today .
VR Score
84
Informative language
89
Neutral language
59
Article tone
formal
Language
English
Language complexity
55
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Attention-grabbing headline
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Known propaganda techniques
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Time-value
long-living
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6
Source diversity
4
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