In the current study we carried out computational drug designing and dock-ing studies on Tyrosine-protein phosphatase non-receptor type 11 (PTPN11). Scaffold selection was based on the functional properties of PTPN11. Leads were identified based on several physiochemical properties and we created our library with those new molecules that were generated based on Lipinski's rule of five. Further, we carried out high throughput screening on 21 molecules from scaffolds selected. Screening of molecules was based on the criterions such as, TOPKAT (toxicity analysis) and ADMET (absorption, distribution, metabolism, elimination) properties. Among the ligands de-signed, only one compound was identified to have premium interaction within the targeted domain. Pharmacophore was generated and analyzed for selected drug candidate. Our results suggest that O-(3-hydroxy-4-methoxyphenyl) S-methyl dithio dicarbonate is a potent drug molecule in terms of physiochemical and docking properties. In conclusion, the identified compound has great potential to inhibit tyrosine-protein phosphatase non-receptor type 11 (PTPN11).