BNA

BNA analyzes the evolution and interaction patterns of protein interaction and gene coexpression networks to study cellular network organization and hierarchical modularity.

Key Features:

• Network Evolution Analysis: Examines evolutionary dynamics of protein interaction and gene coexpression networks to enable investigation of interaction patterns across evolutionary time.
• Isotemporal Classification: Classifies proteins by their evolutionary histories into isotemporal categories for comparative analysis.
• Interaction Tendency Assessment: Identifies increased interaction frequency among proteins within the same or similar isotemporal categories and decreased interactions between proteins from disparate categories.
• Reconstruction of Growth Pathways: Reconstructs the main growth path of protein interaction networks to trace network development and expansion over time.
• Network Modularity Insights: Analyzes hierarchical modularity and the influence of synergistic selection pressures on cellular network structure.

Scientific Applications:

• Protein Interaction Networks: Analysis of structure, dynamics, and co-evolution in protein interaction networks in yeast and other organisms.
• Gene Coexpression Networks: Investigation of coordinated gene regulation and coexpression relationships across evolutionary stages.

Methodology:

Implemented in C++ and PERL; classifies proteins into isotemporal groups by evolutionary history, analyzes interaction tendencies and network evolution, reconstructs main growth paths of protein interaction networks, and assesses hierarchical modularity and effects of synergistic selection pressures.