This is a bioinformatics data analysis pipeline. It is based on the structural control of linear networks. This pipeline generates novel molecular interaction networks by combining pathway data from various public databases, such as KEGG (old dump from Spring 2011), WikiPathways and Pathway Commons. The pipeline then identifies a minimal set of nodes needed to control a given, user-defined set of disease-specific essential proteins in the network.

The pipeline can be used by researchers for controlling and better understanding of molecular interaction networks through combinatorial multi-drug therapies, for more efficient therapeutic approaches and personalised medicine.

The pipeline is build within Anduril workflow framework and uses Moksiskaan to generate biochemical networks.


Network controllability focuses on discovering combinations of external interventions that can drive a biological system to a desired configuration. In practice, this approach translates into finding a combined multi-drug therapy in order to induce a desired response from a cell; this can lead to developments of novel therapeutic approaches for systemic diseases like cancer.