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. 2023 May 30;5(2):lqad053. doi: 10.1093/nargab/lqad053

Figure 2.

Figure 2.

Multi-channel use cases. (A) A protein–chemical interaction network generated by STITCH. Left: Aspirin compound with its top ten interactors and molecular interaction channels is shown. Right: The same network in Arena3Dweb format with three channels of information: ‘Experimental’, ‘Database’ and ‘Text-Mining''. Interactions are colored in green, blue and red edges respectively. The network consists of two layers, Drugs and Proteins. (B) PREGO’s Process, Organism and Environment association tables. Left: The associations of the ‘anaerobic ammonium oxidation’ process with organisms. Middle: The associations of the genus Beggiatoa with the corresponding Environments and their respective channel sources (‘Literature’ (text-mining), ‘Environmental Samples’). Right: The multilayer and multi-edge Arena3Dweb simultaneous visualization of these two distinct tables maintaining the source channel information (‘Literature’ (text-mining) shown via green edges, while ‘Environmental Sample’ derived-ones shown in red).