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Fig. 2 | BMC Systems Biology

Fig. 2

From: Inference of domain-disease associations from domain-protein, protein-disease and disease-disease relationships

Fig. 2

Scheme for predicting domain-disease relationships. Nodes represent diseases/traits, modules, proteins and domains. An edge connecting two nodes represents a known association. Steps 1-7 demonstrate the procedure that, when predicting for a specific disease, how to obtain its candidate domains. Step 1: For a given disease T n , all module(s) containing this disease (in the figure M j ) and all the other diseases/traits contained in M j are extracted. Step 2: Module(s) sharing at least one disease with module M j (in the figure M j ) are extracted. Step 3: All the other diseases/traits in M j are included in the prediction scheme. Step 4: All proteins associated with the set of M j M j (in the figure P i 1 and P i 2) are extracted. Step 5: All domains contained in the set of {P i 1, P i 2} are included in the prediction scheme. Step 6: All proteins sharing domains with proteins {P i 1, P i 2} are included in the prediction scheme. Step 7: All the other domains in all proteins produced at Step 6 are included in the prediction scheme and the resulting set of domains are called candidate domains

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