CG-TARGET

CG-TARGET predicts biological process targets of chemical compounds by integrating chemical-genetic interaction profiles with genome-wide genetic interaction networks.

Key Features:

• Interaction Profile Integration: Combines large-scale chemical-genetic interaction screening data with genetic interaction networks to infer biological processes perturbed by compounds.
• High-Throughput Chemical Screening Analysis: Processes chemical-genetic interaction profiles from large compound libraries, including screens of nearly 14,000 compounds in Saccharomyces cerevisiae.
• False Discovery Rate Control: Improves control of false discovery rates in biological process prediction compared with enrichment-based approaches.
• Negative Interaction Prioritization: Utilizes negative chemical-genetic interactions as primary contributors to high-confidence biological process predictions.

Scientific Applications:

• Compound Functional Annotation: Identifies cellular biological processes perturbed by chemical compounds using chemical-genetic interaction data.
• Drug Mechanism Investigation: Supports discovery of compound mechanisms of action, including identification of inhibitors affecting processes such as tubulin polymerization and cell cycle progression.

Methodology:

CG-TARGET generates chemical-genetic interaction profiles by measuring mutant fitness defects after compound treatment and integrates these profiles with genome-wide genetic interaction networks to predict perturbed biological processes.