Professor

mesobhia.pdf3.41 MB
Faculty
Phone
0172-2292025
Email
mesophia
Department
Pharmacoinformatics
Area of Interest: | Application of Computer Aided Drug Design methods in lead identification & optimization, in silico studies on ADME/T prediction, design of PTP1B inhibitors, CCR2 agents, PKC-beta2 inhibitors, ALR2 inhibitors, Neuramidase inhibitors, Enoyl reductase inhibitors. |