Published on January 15, 2019 by

DeepMind, an AI lab & complete outsider to the field of molecular biology, beat top pharmaceutical companies with 100K+ employees like Pfizer, Novartis, etc. at predicting protein structures. This is huge! DeepMind didn’t yet release the paper or code, so I browsed the CASP reports and different related papers to reverse engineer the architecture as best as I could. What I ended up doing is forking a related research papers code and repurposing it, since its very similar (2 residual networks were used). In this episode, i explain the different components of its architecture, why the protein folding problem is so important, and give some programmatic examples. Enjoy!

Code for this video (with coding challenge):

Please Subscribe! And Like. And comment. Thats what keeps me going.

Want more education? Connect with me here:

More learning resources:…………

Join us at the School of AI:

Join us in the Wizards Slack channel:

Please support me on Patreon:

Signup for my newsletter for exciting updates in the field of AI:

Category Tag