Create genetic_circuit_design_with_machine_learning.py

synthetic_biology_framework/genetic_circuit_design_with_machine_learning.py

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+import networkx as nxfrom sklearn.ensemble import RandomForestClassifier
+
+class GeneticCircuitDesigner:
+    def __init__(self, gene_sequence):
+        self.gene_sequence = gene_sequence
+
+    def design_genetic_circuit(self):
+        # Implement genetic circuit design algorithm using machine learning
+        graph = nx.DiGraph()
+        graph.add_node('gene', gene_sequence=self.gene_sequence)
+        graph.add_node('promoter', promoter_sequence='ATCG')
+        graph.add_edge('promoter', 'gene')
+        return graph
+
+    def simulate_genetic_circuit(self, graph):
+        # Implement genetic circuit simulation algorithm using machine learning
+        puts "Simulating genetic circuit..."
+        # Simulate circuit behavior using machine learning