NetGenes

NetGenes predicts essential genes using network-based features derived from STRING protein-protein functional association networks to support genome-scale essentiality assessment across bacterial species.

Key Features:

• Essentiality Scores: Each gene in the database is assigned an essentiality score indicating its predicted importance for organism survival.
• Network-based Features: Features are derived from STRING protein-protein functional association networks to capture interaction-context information used for prediction.
• Annotations and Feature Vectors: Comprehensive annotations and detailed feature vectors accompany each gene prediction summarizing the network-derived attributes.
• Coverage: Predictions cover over 2,700 bacterial species cataloged in STRING and encompass more than 2.1 million genes.

Scientific Applications:

• Gene Essentiality Analysis: Enables systematic investigation of essential and non-essential genes across bacterial genomes.
• Drug Target Identification: Facilitates prioritization of candidate essential genes as potential antimicrobial targets.
• Functional Genomics: Supports interpretation of gene function by integrating network-context information into essentiality predictions.
• Evolutionary Biology: Aids studies of conservation and divergence of essential genes across bacterial species.

Methodology:

Features were extracted from STRING protein-protein functional association networks and network-derived attributes were used to predict gene essentiality across organisms cataloged in STRING.