code: def build_database(manager: pybel.Manager, annotation_url: Optional[str] = None) -> None:
      
      annotation_url = annotation_url or NEUROMMSIG_DEFAULT_URL
  
      annotation = manager.get_namespace_by_url(annotation_url)
  
      if annotation is None:
          raise RuntimeError('no graphs in database with given annotation')
  
      networks = get_networks_using_annotation(manager, annotation)
  
      dtis = ...
  
      for network in networks:
          graph = network.as_bel()
  
          scores = epicom_on_graph(graph, dtis)
  
          for (drug_name, subgraph_name), score in scores.items():
              drug_model = get_drug_model(manager, drug_name)
              subgraph_model = manager.get_annotation_entry(annotation_url, subgraph_name)
  
              score_model = Score(
                  network=network,
                  annotation=subgraph_model,
                  drug=drug_model,
                  score=score
              )
  
              manager.session.add(score_model)
  
      t = time.time()
      logger.info('committing scores')
      manager.session.commit()
      logger.info('committed scores in %.2f seconds', time.time() - t)
docs: Build a database of scores for NeuroMMSig annotated graphs.
  
      1. Get all networks that use the Subgraph annotation
      2. run on each