Skip to main content
This guide walks through creating a complete protein binder design project from scratch as a single workflow.
For further information and discussion on each step, please see the sectional breakdown within this documentation.

Step 1: Create a New Project

Create new project dialog
  1. From the home page, click “New Project”
  2. Enter a project name (e.g., “Designing for external domain of EGFR”)
  3. Select “Protein” modality
  4. Click “Create”
Create new project dialog

Step 2: Add Your First Target

Create new target form
  1. From the project dashboard, click ”+ Add target” in the Targets section
  2. Enter target name (e.g., “Target-EGFR”)
  3. Choose “Define Sequences” tab
  4. Click ”+ Polymer” then “Protein from Sequence”
  5. Paste your protein sequence (or import from UniProt)
  6. Click “Import” then “Continue”

Initialize Target

Complete the 4-step initialization:
  1. Verify Unbound Structure - Review the predicted structure
Verify unbound structure step
  1. Select Crop - Choose region of interest (less than 350 residues ideal)
Select crop region step
  1. Select Epitope (Optional) - Mark binding site residues
Select epitope residues step
  1. Select Flexible Residues (Optional) - Mark flexible regions
Select flexible residues step
Click “Complete Setup” when done.

Step 3: Create a Binder Specification

Nanobody specification structure selection
  1. Click ”+ Add” in the Binder Specifications section
  2. Enter binder specification name (e.g., “Nanobody design V1”)
  3. Select “Nanobody” modality
  4. Click ”> Continue to Specification”

Specify Structure

Specify Structure
Choose one:
  • Pre-loaded template - Select from provided structures e.g., vWF A1-Camplacizumab Complex
  • PDB ID - Import via PDB ID (e.g., 7EOW)
  • Upload file - Upload your own structure

Select Residues

Select residues for nanobody specification
  • All residues are selected by default.
  • You can also manually select residues by clicking/dragging
  • Recommended: ≤300 residues

Configure Design

  1. Exclude amino acids (e.g., Cysteine)
  2. Create design motifs:
    • Select CDR regions
    • Right-click then “Replace with design motif”
    • For CDR3, specify variable length (e.g., 10-25 residues)
  3. Click ”> Create Specification”
Design configuration with motifs
Design configuration with motifs
Design configuration with motifs
Design configuration with motifs

Step 4: Create an Experiment

  1. Click ”+ New Experiment” in the Experiments section
  2. Enter name (e.g., “First campaign to find initial hits”)
  3. Enter hypothesis (optional but recommended)
  4. Click “Create Experiment”
Create new experiment form
Create new experiment form

Step 5: Run Virtual Screen

  1. From the experiment, click “New virtual screen”
  2. Enter screen name (e.g., “Small virtual screen to test the setup”)
  3. Select “Design (Generative)” type
  4. Set budget:
    • Start with 30-100 for a pilot
    • Scale to 10k-100k for production
  5. Select your binder specification
  6. Select your target
  7. Select your experiment
  8. Click “Start Protein Design”
New protein design screen form
New protein design screen form

Step 6: Monitor Progress

Virtual screen running status
While running, you can:
  • View progress and elapsed time
  • Pause or stop the screen
  • Click “View Results in Experiment” to see candidates as they’re generated

Step 7: Evaluate Results

Once completed:
  1. Review metrics:
    • Top performers binding confidence graph
    • Candidates above threshold counts
Virtual screen completed results
  1. View candidates:
    • Switch to “Table” tab
    • Filter and select candidates
    • Review 3D structures in the viewer
    • Compare properties (ipTM, pLDDT, binding confidence)
Triage view with detailed candidate information
  1. Triage:
    • Use thumbs up/down and flags
    • Tag promising candidates
    • Export for experimental validation

Best Practices

Start with a small pilot (50-100 designs) to validate setupScale up to 10k-100k designs for production campaignsReview top performers first, then explore diversityUse tags to organize candidates by different criteriaExport promising candidates for experimental validation