Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks

摘要: Many biological processes are controlled by both deterministic and stochastic influences. However, efforts to model these systems often rely on either purely or rule-based methods. To better understand the balance between stochasticity determinism in a computational approach that incorporates influences may afford additional insight into underlying mechanisms give rise emergent system properties. We apply combined simulation study of angiogenesis, growth new blood vessels from existing networks. This complex multicellular process begins with selection an initiating endothelial cell, tip which sprouts parent response stimulation exogenous cues. have constructed agent-based sprouting angiogenesis evaluate cell sprout initiation frequency location, we experimentally validated it using high-resolution time-lapse confocal microscopy. ABM simulations were then compared Monte Carlo model, revealing could not generate locations as accurately rule-informed model. These findings support use approaches for modeling over