Omic Documentation

Welcome to the Omic documentation. Here you'll find guides, API references, and examples to help you integrate Omic's AI drug discovery capabilities into your research workflow.

# Install the Omic Python SDK
pip install omic

# Initialize with your API key
from omic import Omic
client = Omic(api_key="your_api_key")

# Run target discovery
results = client.discover_targets(
    expression_data="path/to/counts.csv",
    metadata="path/to/metadata.csv"
)

Documentation Sections

Platform Overview

Omic is an AI-driven drug discovery platform that combines:

• AI Scientists - PhD-level autonomous agents for hypothesis generation and experimental design
• Digital Patient Models - Mechanistic simulations predicting drug response across populations
• Multi-Omics Integration - Systems biology approach combining transcriptomics, proteomics, and metabolomics
• Generative Chemistry - De novo molecule design optimized for target engagement and ADMET properties