CEG

CEG organizes clusters of orthologous essential genes to store and analyze essentiality patterns across prokaryotic and eukaryotic organisms.

Key Features:

• Orthologous Gene Clustering: Organizes essential genes into orthologous clusters to reveal shared essentiality patterns among species.
• Expanded Dataset: Includes 29 prokaryotic gene datasets and nine eukaryotic species, with human essential genes derived from 12 cancer cell lines.
• Prokaryotic Gene Information: Provides protein structure data, ligand-protein interaction details, virulence factor annotations, and corresponding drug associations for prokaryotic genes.
• Essential Gene Prediction Service: Offers predictive services for identifying essential genes in both prokaryotic and eukaryotic organisms.

Scientific Applications:

• Drug Target Identification: Links essential genes to protein structures, ligand-protein interactions, virulence factors, and drugs to support identification of antimicrobial and other drug targets, particularly for infectious diseases.
• Evolutionary Genomics Research: Enables comparative analyses of evolutionary conservation and divergence of essential gene functions across species via orthologous clustering.
• Cancer Research: Supports analysis of human essential genes from 12 cancer cell lines to identify cancer-specific vulnerabilities.

Methodology:

Systematic collection and clustering of essential gene data from multiple organisms, with regular dataset updates to support the database and its essential-gene prediction service.