<｜begin▁of▁sentence｜>### Instruction:
Certainly! Let me rephrase the question in the context of a computational biology scenario:

Imagine you're working on a computational biology project where you are analyzing a gene interaction pathway. To model the pathway, you've used NetworkX to create a simple linear representation with a path graph of 4 genes, corresponding to the nodes in the graph (from Gene 1 to Gene 4). You've established that the pathway should be immutable for this part of your analysis and utilized NetworkX's `nx.freeze` method to enforce this constraint on the graph structure.

Now, you're considering a hypothesis that involves a potential interaction between a fifth gene (Gene 5) and the fourth gene in your current pathway. You're pondering over what would happen if you tried to add this additional interaction (edge) between Gene 4 and Gene 5 to your frozen graph. Moreover, as part of your analysis documentation, you wish to visualize and inspect the current state of the gene interaction edges in your pathway graph before any changes are made.

Could you reformulate your inquiry on the effects of attempting this edge addition on the frozen graph, along with a request to display the current gene interaction edges as they stand in your analysis?
### Response:
import networkx as nx

# Create a graph
G = nx.path_graph(4)

# Freeze the graph to prevent further changes
G = nx.freeze(G)

# Attempt to add an edge to the frozen graph to demonstrate that it is immutable
try:
    G.add_edge(4, 5)
except nx.NetworkXError as err:
    print(str(err))

# Print the graph to show its current state
print(G.edges())
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