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371 Views • Oct 31, 2024 • Click to toggle off description
Proteins start out in cells as strings of amino acids, kind of like strings of beads. Then they fold into complex structures — structures that reflect the key functions they play in health and disease.

But the way these proteins fold into their final structure is incredibly difficult to predict. The so-called “protein-folding problem” stumped scientists for generations, and was even considered biology’s biggest mystery, until a machine learning model called AlphaFold2 appeared to crack the code a few years ago.

Despite the success of AlphaFold and other AI models in predicting protein structures, HMS senior research fellow Nazim Bouatta argues that important aspects of the so-called “protein-folding problem” remain unsolved.

Bouatta and HMS colleagues are building machine learning models that incorporate a deeper knowledge of protein dynamics and that are fully open-source, so they can be adapted by the wider scientific community.
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Uploaded At Oct 31, 2024 ^^


warning: returnyoutubedislikes may not be accurate, this is just an estiment ehe :3
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RYD date created : 2024-11-01T15:48:50.923999Z
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2 Comments

Top Comments of this video!! :3

@PicasaFix

3 weeks ago

Wait what, isn't this the noble prize winner?

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@LabMonkey-k2j

3 weeks ago

for context. Harvard med also thought mRNA 'vaccines' were safe 😂😂

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