Peptone, a startup using A.I. to find drugs for tricky ‘disordered’ proteins, raises $40 million in venture funding

Google is sending the computer in question and a team of their best scientists to convince you. Hang tight!

Thanks for elaborating.

That's what I have also thought about this!

Excellent point!

Karma is a bitch.

And yes, the product right now is Keras and Tensorflow database integration + the interactive database interface. The tools around are currently under stringent testing.

This is an excellent question. When we have our network up and running we will compare against Ad's methodology. Ad is known for top-notch solutions.

Thank you for very kind comment. We are now finishing a predictor, which utilizes protein propensity data for mass-scale disorder and order predictions.

The training times obviously vary on the network architecture, software and hardware. I can safely say you can process 7200+ protein sequence with average sequence length of 120 amino acids in 2h on 2 x NVIDIA Titan XP

Excellent reference!

BTW, greetings from GROMACS group in Groningen :) I happend to do my PhD in NMR and Molecular Dynamics.

Coming back to your comments about the canonical secondary structures; I couldn't agree more with you. The problem is quite simple, how are we going to convince the >90% of structural biochemistry society to simply accept the fact proteins are bloody dynamic and X-ray / eye candy structures may have quite little to do with the "real" picture at room temperature?

Crystallographic structures are very useful in determining the functions of proteins. Structural biochemists are very aware that proteins are dynamic and believe the concept is covered in most introducing courses.