Disease2Target

Brief introduction

Disease2Target is designed to mainly be used for target prediction of proteins with relevance to an interested disease. That is, by Disease2Target users can start with an interested disease to do target prediction. This relevance between a protein and a disease is quantified by their distance in the PPI network, defined as the minimum shortest path length between the protein and the disease’s known related genes (Nat Biotechnol. 2007, 25(10):1119-26). That distance is equal to zero means that the protein is just one known related gene of the disease. Known gene-disease association data (distance=0) are from OMIM, CTD and PheGenI.

Of course Disease2Target can also be used as a tool independent of POPPIT, used for relevance analysis between a protein and a disease based on PPI network.

More…


1.Please input the disease/protein

Here users can query a disease represented by disease name (case-insensitive) to obtain proteins with relevance to it and further do target prediction for these proteins. Also users can query a protein represented by gene name or protein name (e.g. TP53 or cellular tumor antigen p53) (case-insensitive) to obtain its relevance to various disease.
! Only a protein or a disease each time is allowed!


2.Parameter setting

Here users can select data source which the known gene-disease association data are from.

([0, 3], integer)

The relevance between a protein and a disease is quantified by their distance in the PPI network. The proteins/diseases with distance not larger than the distance cutoff to the query disease/protein will be given in the result table.

3.Now start to analyze