System and method for identifying potential targets for pharmaceutical compound

1. A system that identifies potential targets for a pharmaceutical compound, wherein the system includes a computer system, wherein the system comprises:

a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and

a processing module communicably coupled to the database arrangement, the processing module operable to:

receive information related to the pharmaceutical compound, wherein the information comprises at least one known target associated with the pharmaceutical compound;

extract plurality of targets from existing data sources, wherein the existing data sources comprises plurality of data records and wherein each of the plurality of targets is associated with the same pharmaceutical compound in each of the plurality of data records;

analyse druggability of each of the plurality of targets to determine a preliminary set of targets;

determine a net score for each of the targets in the preliminary set of targets; and

identify targets with the net score above a predefined threshold, as the potential targets, wherein the potential targets correspond to unidentified sites of action for the pharmaceutical compound.

2. The system of claim 1 , wherein the processing module is operable to determine the net score for a target in the preliminary set of targets, based on:

a genetic association score, wherein the genetic association score comprises likelihood of mutation in the target;

a gene expression score, wherein the gene expression score is based on number of available gene expression studies related to the target;

a somatic association score, wherein the somatic association score comprises likelihood of somatic mutations in the target;

a pathway score, wherein the pathway score is based on a number of pathways related to the target; and

a gene ontology score, wherein the gene ontology score is based on number of available gene ontologies related to the target.

3. The system of claim 2 , wherein the net score for the target is further based on number of data-records associated with the target in the existing data sources.

4. The system of claim 1 , wherein the processing module is further operable to arrange the identified potential targets in a hypergeometric distribution based on the pharmaceutical compound.

5. The system of claim 1 , wherein the extraction of the plurality of targets from the existing data sources further comprises:

identification of targets of other pharmaceutical compounds similar to the pharmaceutical compound; and

identification of targets similar to the at least one known target.

6. A method of identifying potential targets for a pharmaceutical compound, wherein the method includes using a computer system, wherein the method comprises:

specifying the pharmaceutical compound, wherein the pharmaceutical compound is associated with at least one known target;

extracting plurality of targets from existing data sources, wherein the existing data sources comprises plurality of data records and wherein each of the plurality of targets is associated with the same pharmaceutical compound in each of the plurality of data records;

analysing druggability of each of the plurality of targets to determine a preliminary set of targets;

determining a net score for each of the targets in the preliminary set of targets; and

identifying targets with the net score above a predefined threshold, as the potential targets, wherein the potential targets correspond to unidentified sites of action for the pharmaceutical compound.

7. The method of claim 6 , wherein the method comprises determining the net score for a target in the preliminary set of targets, based on:

a genetic association score, wherein the genetic association score comprises likelihood of mutation in the target;

a gene expression score, wherein the gene expression score is based on number of available gene expression studies related to the target;

a somatic association score, wherein the somatic association score comprises likelihood of somatic mutations in the target;

a pathway score, wherein the pathway score is based on a number of pathways related to the target; and

a gene ontology score, wherein the gene ontology score is based on number of available gene ontologies related to the target.

8. The method of claim 7 , wherein the net score for the target is further based on number of data-records associated with the target in the existing data sources.

9. The method of claim 6 , wherein the method further comprises arranging the identified potential targets in a hypergeometric distribution based on the specified pharmaceutical compound.

10. The method of claim 6 , wherein extracting the plurality of targets from existing data sources further comprises:

identifying targets of other pharmaceutical compounds similar to the specified pharmaceutical compound; and

identifying targets similar to the at least one known target.

11. A non-transitory computer readable medium, containing program instructions for execution on a computer system, which when executed by a computer, cause the computer to perform method steps for method of identifying potential targets for a pharmaceutical compound, the method comprising the steps of:

specifying the pharmaceutical compound, wherein the pharmaceutical compound is associated with at least one known target;

extracting plurality of targets from existing data sources, wherein the existing data sources comprises plurality of data records and wherein each of the plurality of targets is associated with the same pharmaceutical compound in each of the plurality of data records;

analysing druggability of each of the plurality of targets to determine a preliminary set of targets;

determining a net score for each of the targets in the preliminary set of targets; and

identifying targets with the net score above a predefined threshold, as the potential targets, wherein the potential targets correspond to unidentified sites of action for the pharmaceutical compound.