MAGNA++

MAGNA++ maximizes node and edge conservation to compute global alignments of biological networks and identify conserved regions across protein-protein interaction networks, gene regulatory networks, and metabolic pathways.


Key Features:

  • Enhanced Edge Conservation: Directly maximizes edge conservation during alignment to preserve interactions between nodes.
  • Simultaneous Optimization: Enables simultaneous optimization of multiple edge-conservation measures and any selected node-conservation measure.
  • Algorithmic Efficiency: Incorporates algorithmic improvements that optimize implementations of edge-conservation measures for faster computation.
  • Parallelized Computation: Parallelizes computational processes to utilize available computational resources for large-scale network alignments.

Scientific Applications:

  • Protein–protein interaction network alignment: Identify conserved interactions and functional orthologs across species.
  • Gene regulatory network alignment: Detect conserved regulatory circuits and network motifs.
  • Metabolic pathway alignment: Reveal conserved metabolic modules and pathway-level conservation.
  • Comparative evolutionary and functional analysis: Infer evolutionary relationships, functional similarities, and potential targets for therapeutic intervention from conserved network regions.

Methodology:

Constructs global network alignments by maximizing node and edge conservation measures within an algorithmic framework that balances these objectives, using optimized implementations and parallelized computation.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Vijayan V, Saraph V, Milenković T. MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation. Bioinformatics. 2015;31(14):2409-2411. doi:10.1093/bioinformatics/btv161. PMID:25792552.

Documentation

Links