The AI protein apps community spurring new
discovery
Pre-trained embeddings and curated data sets
Seamless interaction with Transformer models trained with millions of protein sequences
A library of high-impact Apps that benefits everyone
This app helps you design antibodies that prevent the flu virus from infecting human cells.
This classification dataset features 96K protein sequences (50% human, 50% pathogens), curated by the DeepChain team.
How it Works
No coding experience
If you're a biologist with no coding expertise, the natural way of interacting with DC Apps is through the DeepChain platform
Grow your network, collaborate with ML experts who can help create Apps tailored to your protein challenges.
Boost your lab's reputation by making your data accessible to a community that is building active solutions.
Choose a DeepChain App or model
There's a hub with open source Apps, or any data scientist
colleagues can deploy ML models for you to use
Input your protein of interest
Add
your sequence or 3D structure of your protein of interest
Design the experiment and analyse the results within 24
hours
Everything through a user-friendly interface
Coding experience
For a computational biologist with some coding expertise, they could train and run models on their PC but might choose to interact through the DeepChain platform instead
Reduce compute time and do more for less by leveraging embeddings.
Improve coding skills with real-life problems while getting community feedback.
Leverage our curated datasets or embeddings
We have pre-calculated embeddings to speed up the training
process
Train your model
With a few lines of
code, you can quickly train a powerful model
Deploy your model
as a DeepChain app for the bio community to easily access