<｜begin▁of▁sentence｜>### Instruction:
As a computational biologist, imagine you're analyzing a protein-protein interaction network represented as a graph. You have proteins A, B, and C, with interactions between A and B, and B and C. Now, using the igraph Python library, how would you visualize these interactions by drawing edges between the proteins, ensuring that the labels indicating the type of interaction are aligned neatly with the edges?
### Response:
from igraph.drawing import AbstractCairoEdgeDrawer

class CustomEdgeDrawer(AbstractCairoEdgeDrawer):
    def draw_edge(self, edge, context, vertex1, vertex2):
        rotation = self.get_label_rotation(edge)
        context.save()
        context.translate((vertex1[0] + vertex2[0]) / 2, (vertex1[1] + vertex2[1]) / 2)
        context.rotate(rotation)
        context.show_text(edge['label'])
        context.restore()

# Usage in a graph
graph = ig.Graph(edges=[(0, 1), (1, 2)])
graph.vs['label'] = ['A', 'B', 'C']
graph.es['label'] = ['AB', 'BC']
custom_drawer = CustomEdgeDrawer()
ig.plot(graph, edge_drawer=custom_drawer)
<|EOT|>
