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LA IA REINGENIERIZA PROTEÍNAS GANADORAS DEL NOBEL PARA REVERSAR EL ENVEJECIMIENTO CELULAR
OpenAI, trabajando con la startup de longevidad Retro Bio, ha desarrollado un modelo especializado llamado GPT-4b Micro que rediseñó los factores Yamanaka, ganadores del Premio Nobel, con una eficiencia asombrosa.
A diferencia del descubrimiento de 2012 que reprogramó menos del 0.1% de las células en semanas, las proteínas diseñadas por IA convirtieron más del 30% de las células y mostraron una poderosa reparación del daño en el ADN.
Varios laboratorios confirmaron los resultados en diferentes tipos de células y métodos de entrega.
Este avance señala un salto para la medicina regenerativa, comprimiendo décadas de investigación sobre el envejecimiento en meras semanas.
Fuente: rowancheung
31 ene 2025
🚨 AI DID IN SECONDS WHAT NATURE NEEDED 500 MILLION YEARS FOR
Nature spent half a billion years crafting proteins—AI just did it in months. Meet ESM3, the super-powered AI that designs brand-new proteins from scratch, no evolution required.
This could change medicine, biotech, and maybe even life itself.
Trained on 2.78 billion proteins, ESM3 has 98 billion parameters, making it one of the most advanced AI models ever.
Instead of just remixing nature’s greatest hits, it creates entirely new proteins, like a biological DJ with infinite samples.
Its biggest flex?
esmGFP, a glowing protein 58% different from anything found in nature. Evolution would need millions of years to make this—ESM3 whipped it up in no time.
This isn’t just a cool science trick. It could revolutionize drug discovery, speed up new medicine development, and push biotech into sci-fi territory with stronger materials, cleaner energy, and futuristic food production.
It might even help us predict how life itself will evolve, which sounds like something we should keep an eye on.
AI-powered protein design isn’t just coming—it’s here. And it’s about to shake things up.
Source: bioRxiv
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