Thanks to deep learning, the central mysteries of structural biology are falling like dominos.
Just last year, DeepMind shocked the biomedical field with AlphaFold, an algorithm that predicts protein structures with jaw-dropping accuracy. The University of Washington (UW) soon unveiled RoseTTAFold, an AI that rivaled AlphaFold in predictive ability. A few weeks later, DeepMind released a near complete catalog of all protein structures in the human body.
Together, the teams essentially solved a 50-year-old grand challenge in biology, and because proteins are at the heart of most medications, they may also have seeded a new era of drug development. For the first time, we have unprecedented insight into the protein engines of our cells, many of which had remained impervious to traditional lab techniques.
L'IA : opportunité ou menace ? Les DSI de la finance s'interrogent Alors que l'intelligence…
Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le…
La transformation numérique du secteur financier n'a pas que du bon : elle augmente aussi…
Telegram envisage de quitter la France : le chiffrement de bout en bout au cœur…
L'intelligence artificielle (IA) révolutionne le paysage de la cybersécurité, mais pas toujours dans le bon…
TISAX® et ISO 27001 sont toutes deux des normes dédiées à la sécurité de l’information. Bien qu’elles aient…
This website uses cookies.