10.22376/ijpbs.2019.10.1.p1-12 Volume 4 Issue 4 2013 (October - December) Increase in biological data at an alarming rate, has made possible the use of such data in identification of drug targets. lessThan i greaterThan Ureaplasma urealyticum lessThan /i greaterThan serovar 10 lessThan i greaterThan str. ATCC lessThan /i greaterThan 33699 is a causative agent for sexually transmitted infections. In present study novel comparative genomic approach is used to identify the drug targets. This approach has been successfully used in lessThan i greaterThan Pseudomonas aeroginosa. lessThan /i greaterThan In current study similar work has been done to mine the drug targets. Analysis in the present study showed a total of 265 essential proteins, out of which 14 showed pathways related to both human and pathogen. The 2 proteins are exclusively pathogen specific and are part of unique metabolic pathways. The 3-D structure of the drug targets was predicted by fold based method and virtual screening was performed to find the natural lead compounds that bind to target. ADME-tox properties of the natural compounds showing better binding affinity were also studied. VIJAYAKUMARI MALIPATIL ANDSHIVKUMAR MADAGI Subtractive genomics, drug targets, natural compounds, docking, homology modeling. 214-221