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At we’re building a foundational protein machine learning model that aims to understand everything about macromolecules. We can successfully create a zinc binding site without ever specifying the positions or geometries to the model.

32,257 просмотров • 3 лет назад •via X (Twitter)

Комментарии: 6

Фото профиля Esaú De la Vega Camarillo
Esaú De la Vega Camarillo3 лет назад

@fenguita @miangoar topa

Фото профиля Faith Bakir
Faith Bakir3 лет назад

@MolAnCell Their innovative model's capability to generate a zinc binding site without precise instructions showcases the potential of AI in unlocking hidden insights in macromolecules.

Фото профиля Molecular Animator of the Cell 🧬📺🦠
Molecular Animator of the Cell 🧬📺🦠3 лет назад

@fenguita 🫢😯😦😧😮😲

Фото профиля Ahmed
Ahmed3 лет назад

Wow! Realy awesome! Could you please explain how this animation created? Thank you

Фото профиля Reinaldo F Cristo
Reinaldo F Cristo3 лет назад

Perceiving simulations facilitates beliefs and mirroring them through technology. Congratulations! @mellziland

Фото профиля Faith Bakir
Faith Bakir3 лет назад

@MolAnCell Major props to @310_AI for their cutting-edge work in protein science! Their foundational machine learning model is unlocking new realms of knowledge about macromolecules.

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