SynergyAge

SynergyAge catalogs curated lifespan and genetic-intervention data to enable analysis of synergistic and antagonistic epistatic interactions among longevity-associated genes across Caenorhabditis elegans, Drosophila melanogaster, and Mus musculus.

Key Features:

• Curated Genetic Data: Hosts curated data on single-gene mutants and strains with multiple genetic interventions affecting lifespan in Caenorhabditis elegans, Drosophila melanogaster, and Mus musculus.
• Epistasis Exploration: Enables analysis of non-linear and epistatic interactions among longevity-associated genes to assess synergistic and antagonistic effects on lifespan.
• Network-based Visualization: Represents gene–lifespan relationships as network graphs to analyze combinations of genetic modifications and their cumulative effects.
• Experimental Design Support: Provides combinatorial epistasis outcomes to inform prediction of gene synergies and dependencies for targeted lifespan experiments.

Scientific Applications:

• Model-organism epistasis analysis: Investigate how combinations of genetic interventions affect lifespan in Caenorhabditis elegans, Drosophila melanogaster, and Mus musculus.
• Predictive modeling of lifespan: Support development of predictive models of cumulative genetic effects on lifespan using curated combinatorial intervention data.
• Experimental planning for lifespan studies: Inform selection of candidate gene combinations and expected synergistic or antagonistic outcomes for targeted experiments.
• Mechanistic discovery of LAG interactions: Facilitate identification of cooperative mechanisms and non-linear genetic pathways that modulate aging.

Methodology:

Curated lifespan outcomes from single and multiple genetic interventions are organized and represented as network graphs to enable computational analysis of epistatic interactions among longevity-associated genes.