Individual User Guide - Amazon Bio Discovery

Getting Started

Amazon Bio Discovery is an AI-powered platform for antibody design and optimization. This guide will help you navigate the platform and create successful antibody design experiments.

Account Setup

Sign in using your AWS credentials or SSO
Complete your profile setup
Join or create an organization
Familiarize yourself with the dashboard

Core Workflows

Creating Your First Project

Navigate to Projects from the main menu
Click "Create Project"
Provide a descriptive name and objective
Set up project permissions and collaborators

Working with Recipes

Recipes define your computational workflow for antibody design:

Browse Hosted Recipes: Use pre-built, validated workflows
Create Custom Recipes: Build workflows using the recipe builder
Configure Parameters: Adjust settings for your specific needs

Running Experiments

Select a project and recipe
Upload your input files (PDB, FASTA formats)
Configure experiment parameters
Review cost estimates and run the experiment
Monitor progress in the experiments dashboard

File Management

Supported File Types

PDB Files: Protein structure files for target antigens
FASTA Files: Sequence files for seed antibodies
CSV Files: Data files for analysis and results

File Upload Guidelines

Best Practices

Use descriptive file names
Ensure files are properly formatted
Keep file sizes under 100MB
Validate structure files before upload

Analyzing Results

Results Dashboard

Once your experiment completes, you can:

View candidate antibodies in table or visualization format
Apply filters to identify promising candidates
Use AI-powered recommendations for candidate selection
Download results in various formats

Wet Lab Integration

Send promising candidates to wet lab partners:

Select candidates from your results
Choose assays and experimental conditions
Review cost and timeline estimates
Submit order to wet lab partner
Track order status and receive results

Collaboration Features

Project Sharing

Add team members with appropriate permissions
Share projects across your organization
Control access levels (viewer, contributor, owner)

Recipe Sharing

Publish custom recipes for team use
Version control for recipe updates
Documentation and usage guidelines

Tips for Success

Optimization Strategies

Start with well-characterized targets
Use high-quality seed antibodies
Leverage AI recommendations for parameter tuning
Iterate based on experimental results

Common Pitfalls

Using low-resolution or incomplete structure files
Insufficient project documentation
Ignoring cost estimates before running large experiments
Not validating results before wet lab submission

Service Improvement and How to Opt Out

For more details on the redaction process we follow prior to using your content for service improvement, see here. You can opt out of the use of your content for service improvement by contacting the Amazon Bio Discovery team at abd-data@amazon.com.