<｜begin▁of▁sentence｜>### Instruction:
As a bioinformatics analyst, you have been given a graph representing protein-protein interactions obtained from a high-throughput experiment. The edge set of the graph is [(protein_0, protein_1), (protein_0, protein_2), (protein_1, protein_2), (protein_1, protein_3)]. The task at hand is to use a computational tool, such as the 'assortativity' function in igraph, to calculate the assortativity of the graph based on the numeric 'degree' property of the proteins. This analysis will help in understanding the overall tendency of proteins to interact with others of similar degrees in the context of this experimental dataset.
### Response:
import igraph as ig

# Create a graph
edges = [(0, 1), (0, 2), (1, 2), (1, 3)]
g = ig.Graph(edges=edges)

# Set vertex degree as a property
vertex_degrees = g.degree()
g.vs['degree'] = vertex_degrees

# Calculate assortativity based on 'degree'
assortativity_degree = g.assortativity('degree', directed=False)
print('Assortativity based on degree:', assortativity_degree)
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