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Synthetic Lethality Explorer (2D) — DNA-Repair Gene Network

Interactive 2D genetic-interaction network: knock out pairs of DNA-repair genes and watch a real synthetic-lethality model — the same backup-pathway logic behind PARP inhibitors in BRCA-mutant cancer — compute expected vs. observed fitness live on a pan-and-zoom node graph.

Disease Modeling & Target Validation2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version
2d-systems-biology-biotechnology ↗ Open standalone

A twelve-gene genetic-interaction network rendered as a flat, pannable node-and-edge graph, split into a homologous-recombination cluster, a base-excision-repair cluster, two core-essential genes, and two unrelated housekeeping genes as a negative control. Pick any two genes, set how stringent the genetic background is, and knock the pair out together: the simulator computes the textbook multiplicative-model expected fitness against an observed fitness shaped by each gene's real position in the redundancy network, then classifies the pair as independent, aggravating, or synthetically lethal. The built-in BRCA1 + PARP1 example reproduces the mechanism behind PARP-inhibitor cancer therapy — losing either DNA-repair pathway alone is survivable, losing both is not.

⚙ Under the hood

An interactive 2D genetic-interaction network of DNA-repair genes: knock out pairs on a pan-and-zoom node graph and watch a real synthetic-lethality model — the backup-pathway logic behind PARP inhibitors in BRCA-mutant cancer — compute expected vs. observed fitness live.

systems biologygeneticsgene networksynthetic lethalitycancer biology2D

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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