<｜begin▁of▁sentence｜>### Instruction:
As a research scientist delving into network analysis, envision this scenario: You're investigating a complex network representing interactions among proteins within a cell. To visually represent this network using NetworkX, you want to assign unique colors to vertices (proteins) using the RainbowPalette with five distinct colors, ensuring maximum saturation and brightness. How can you achieve this using NetworkX's visualization capabilities?
### Response:
from igraph.drawing.colors import RainbowPalette

# Create a rainbow palette with 5 colors, saturation and value set to 1.0
# The rainbow starts at hue 0.0 and ends at hue 1.0 with full opacity (alpha=1.0)
palette = RainbowPalette(n=5, s=1.0, v=1.0, start=0.0, end=1.0, alpha=1.0)

# Use the palette for vertex coloring in a graph
graph = ig.Graph.Tree(10, 2) # Creating a sample tree graph with 10 vertices
layout = graph.layout('rt') # Calculate layout for graph plotting
ig.plot(graph, layout=layout, vertex_color=[palette.get(i) for i in range(graph.vcount())])
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