DeepMind AlphaFold: A Gift To Humanity! 🧬
❤️ Train a neural network and track your experiments with Weights & Biases here: http://wandb.me/paperintro
📝 The paper "Highly accurate protein structure prediction with #AlphaFold" is available here:
https://www.nature.com/articles/s41586-021-03819-2
https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
Protein database:
https://alphafold.ebi.ac.uk/
More on this:
https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
https://deepmind.com/research/case-studies/alphafold
https://deepmind.com/blog/article/putting-the-power-of-alphafold-into-the-worlds-hands
❤️ Watch these videos in early access on our Patreon page or join us here on YouTube:
- https://www.patreon.com/TwoMinutePapers
- https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Martel, Gordon Child, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Paul F, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers
Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu
Chapters:
00:00 What is protein folding?
01:00 Is it so hard!
04:08 CASP
05:15 AlphaFold's results
06:41 Let's look inside!
07:41 Iterative refinement
08:41 Convolutional neural networks
08:51 Transformers
09:55 Everything matters!
10:58 Adding physics knowledge
13:00 What is this good for?
13:33 A gift to humanity!
14:05 Future works
14:56 AlphaFold's weaknesses
15:16 An important message
Meet and discuss your ideas with other Fellow Scholars on the Two Minute Papers Discord: https://discordapp.com/invite/hbcTJu2
Károly Zsolnai-Fehér's links:
Instagram: https://www.instagram.com/twominutepapers/
Twitter: https://twitter.com/twominutepapers
Web: https://cg.tuwien.ac.at/~zsolnai/
Видео DeepMind AlphaFold: A Gift To Humanity! 🧬 канала Two Minute Papers
📝 The paper "Highly accurate protein structure prediction with #AlphaFold" is available here:
https://www.nature.com/articles/s41586-021-03819-2
https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
Protein database:
https://alphafold.ebi.ac.uk/
https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
https://deepmind.com/research/case-studies/alphafold
https://deepmind.com/blog/article/putting-the-power-of-alphafold-into-the-worlds-hands
❤️ Watch these videos in early access on our Patreon page or join us here on YouTube:
- https://www.patreon.com/TwoMinutePapers
- https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Martel, Gordon Child, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Paul F, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers
Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu
Chapters:
00:00 What is protein folding?
01:00 Is it so hard!
04:08 CASP
05:15 AlphaFold's results
06:41 Let's look inside!
07:41 Iterative refinement
08:41 Convolutional neural networks
08:51 Transformers
09:55 Everything matters!
10:58 Adding physics knowledge
13:00 What is this good for?
13:33 A gift to humanity!
14:05 Future works
14:56 AlphaFold's weaknesses
15:16 An important message
Meet and discuss your ideas with other Fellow Scholars on the Two Minute Papers Discord: https://discordapp.com/invite/hbcTJu2
Károly Zsolnai-Fehér's links:
Instagram: https://www.instagram.com/twominutepapers/
Twitter: https://twitter.com/twominutepapers
Web: https://cg.tuwien.ac.at/~zsolnai/
Видео DeepMind AlphaFold: A Gift To Humanity! 🧬 канала Two Minute Papers
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