Learn the Basics
Computational protein design workflows typically database searches, predictions of protein folding and function, designing new functional molecules, and visualizing the results. This tutorial walks you through a streamlined workflow for molecule programming using cutting-edge AI/ML techniques, with links to dive deeper into each component.
We’ve also integrated innovative de novo design methods so that you'll be able to create brand-new proteins from scratch with no template needed.
Running the Tutorial Prompts
You can run this tutorial from any browser using the link 310 Copilot
How to Use this Guide
Click on the Try button to jump straight into a session, or learn more about each topic by clicking on the headers below.
Folding
Fold ‘DIHICGICKQQFNNLDAFVAHKQSGSQ’
Docking
Dock biotin into P22629
Function prediction
Load Q9UPY3 and predict its function
| Name | Score |
|---|---|
| Endoribonuclease Dicer | 0.466 |
| 3.1.26.3 | 0.409 |
| Endoribonuclease Dcr-1 | 0.033 |
Visualization
Label the distance between 11 SG and 8 OD1
Protein Design
Redesign A0A1L9RXX7 residues 40-60
Binding Site Prediction
Predict pockets in P08100
| resi | p(bind) |
|---|---|
| 265 | 0.925 |
| 268 | 0.8773 |
| 212 | 0.8214 |
Search and Compare
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