3 ms·

I genuinely thought this was helpful! I wrote the article to make the methods more transparent and understandable, sorry if it's not worked for you.

LeifCarrotson 6y ago
I genuinely thought it was helpful, too! I've only dabbled in AI, though, and my bioengineering coursework stopped well before protein folding, so the simple terminology and basic explanation to an outsider was probably more appropriate. True, you didn't explain how the new algorithm achieves its shockingly impressive result, but that's probably not something that anyone could provide in a 500-word article that's easy to approach for non-experts. Though these guys were able to teach a computer to fold proteins more accurately than anyone expected it could be done, maybe they could extend their model to have it also write the paper for them...
xiphias2 6y ago
The article is more about how AlphaFold works, not about how useful it is in practice, which the article should focus on with this title. You should have selected a title that's more in line with the article. Or what's more interesting is to have an article about the current top use cases and companies that need protein folding, and how much money they can save on finding better drugs...now that would be really interesting to me... that would be the appropriate content for the title that you gave.
- stuartbman 6y ago
  Thanks for the feedback. As a researcher I'm more interested in the methods of how they've achieved this performance and this was what I wanted to share. The top use cases are briefly listed here but frankly unlimited within and beyond pharma- as another commenter has said, if this is applied a Nobel is likely. Until then we'll need to wait for the full paper.
  - xiphias2 6y ago
    Sure, but for the method I really liked the video from Yannic Kilcher 3 days ago, so I compared this articlecto that (I'm subscribed to his channel, I love his detailed explanations): https://youtu.be/B9PL__gVxLI https://youtu.be/B9PL__gVxLI

LeifCarrotson 6y ago

I genuinely thought it was helpful, too! I've only dabbled in AI, though, and my bioengineering coursework stopped well before protein folding, so the simple terminology and basic explanation to an outsider was probably more appropriate. True, you didn't explain how the new algorithm achieves its shockingly impressive result, but that's probably not something that anyone could provide in a 500-word article that's easy to approach for non-experts. Though these guys were able to teach a computer to fold proteins more accurately than anyone expected it could be done, maybe they could extend their model to have it also write the paper for them...

xiphias2 6y ago

The article is more about how AlphaFold works, not about how useful it is in practice, which the article should focus on with this title. You should have selected a title that's more in line with the article. Or what's more interesting is to have an article about the current top use cases and companies that need protein folding, and how much money they can save on finding better drugs...now that would be really interesting to me... that would be the appropriate content for the title that you gave.

stuartbman 6y ago
Thanks for the feedback. As a researcher I'm more interested in the methods of how they've achieved this performance and this was what I wanted to share. The top use cases are briefly listed here but frankly unlimited within and beyond pharma- as another commenter has said, if this is applied a Nobel is likely. Until then we'll need to wait for the full paper.
- xiphias2 6y ago
  Sure, but for the method I really liked the video from Yannic Kilcher 3 days ago, so I compared this articlecto that (I'm subscribed to his channel, I love his detailed explanations): https://youtu.be/B9PL__gVxLI https://youtu.be/B9PL__gVxLI