Motivation: Mechanotransduction—the ability to output a biochemical signal from a mechanical input—is related to the initiation and progression of a broad spectrum of molecular events. Yet, the characterization of mechanotransduction lacks some of the most basic tools as, for instance, it can hardly be recognized by enrichment analysis tools, nor could we find any pathway representation. This greatly limits computational testing and hypothesis generation on mechanotransduction biological relevance and involvement in disease or physiological mechanisms. Results: We here present a molecular map of mechanotransduction, built in CellDesigner to war- rant that maximum information is embedded in a compact network format. To validate the map’s necessity we tested its redundancy in comparison with existing pathways, and to estimate its sufficiency, we quantified its ability to reproduce biological events with dynamic simulations, using Signaling Petri Networks. Availability and implementation: SMBL language map is available in the Supplementary Data: core_map.xml, basic_map.xml.
Dent, J.E., Devescovi, V., Li, H., Di Lena, P., Lu, Y., Liu, Y., et al. (2015). Mechanotransduction map: Simulation model, molecular pathway, gene set. BIOINFORMATICS, 31(7), 1053-1059 [10.1093/bioinformatics/btu776].
Mechanotransduction map: Simulation model, molecular pathway, gene set
DEVESCOVI, VALENTINA;DI LENA, PIETRO;NARDINI, CHRISTINE
2015
Abstract
Motivation: Mechanotransduction—the ability to output a biochemical signal from a mechanical input—is related to the initiation and progression of a broad spectrum of molecular events. Yet, the characterization of mechanotransduction lacks some of the most basic tools as, for instance, it can hardly be recognized by enrichment analysis tools, nor could we find any pathway representation. This greatly limits computational testing and hypothesis generation on mechanotransduction biological relevance and involvement in disease or physiological mechanisms. Results: We here present a molecular map of mechanotransduction, built in CellDesigner to war- rant that maximum information is embedded in a compact network format. To validate the map’s necessity we tested its redundancy in comparison with existing pathways, and to estimate its sufficiency, we quantified its ability to reproduce biological events with dynamic simulations, using Signaling Petri Networks. Availability and implementation: SMBL language map is available in the Supplementary Data: core_map.xml, basic_map.xml.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.