This is the code for this video on Youtube by Siraj Raval on DeepMind AlphaFold. This is a re-implemention of Sheng and Jinbo's deep leanring model on protein contacts prediction, which is a breakthrough in protein structure prediction. However, unfortunately they did not opensource their codes and models. So its a re-implementation of their methods based on the paper. As their paper reported, deep learning model can significantly improve the accuracy of contacts prediction.

This challenge is open to anyone, anywhere in the world.

• Good Documentation
• Working, readable code

Wizards, see page 11 of this paper and DeepMind's blog post for details on the AlphaFold algorithm. 2 Residual networks are used. Multiple methods are attempted.

This code is one very related example to AlphaFold. Here are others that you can build off of

• https://github.com/carlosmartinezvillar/3DCNNFolds
• https://github.com/igemsoftware2017/AiGEM_TeamHeidelberg2017/blob/master/DeeProtein/DeeProtein_README.md
• https://github.com/pfnet-research/BMI219-2017-ProteinFolding
• https://github.com/5bingstar/Deep-learning-for-contact_map_v2
• https://github.com/Illumina/PrimateAI

Do the best you can! I'm looking for well documented code. Good luck!