Notifications:
Fellowship in Psycho-Sexual Medicine Examinations - April 2024 - Results (E.No. 0616).
D Pharm Examinations - April 2024 - Results (E.No.0610).
Pharm D Examinations - April 2024 - Results (E.No.0609).
Declaration of Doctor of Philosophy Result - Mr. Kiran K Jadhav.
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( Formerly Known as Jagadguru Sri Shivarathreeshwara University )
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Research and development
THRUST AREAS
> In silico design and development of small molecules as antibacterial agents and anticancer agents
> Polymer drug conjugates for targeted drug delivery
> Discovery of bioactive agents from plant source
We worked for the development of orally active and selective PDE4B inhibitors possessing anti-inflammatory and bronchodilator activities with decreased potential for the side effects of thearchetype PDE4 inhibitors like Rolipram. We used Schrodinger suite for in silico design of these selective inhibitors.
We also aimed to develop dual inhibitors of GyrB and ParE bacterial enzymes as it would lead to the robust antibacterial agents. We developed atom based 3D-QSAR models for both GyrB and ParE enzymes using the reported molecules and performed structure based in silico high-throughput virtual screening. We identified virtual hits and optimized the leads. We also synthesized the designed molecules and evaluated for enzyme inhibitory activity.
We are also working on MurD and MurE dual inhibitors to develop robust antibacterial drugs. We performed molecular docking, binding free energy calculation and MD simulation of rigid analogs of D-glutamic acid derivatives to investigate the molecular mechanism of interaction of these inhibitors with MurD and MurE enzymes.
We also performed structure based in silico virtual high-throughput screening to identify hits against bacterial enzyme alanine racemase..
Hits were optimized within the catalytic pocket using glide and Prime MM-GBSA approach. MD simulations revealed the binding mode of these designed inhibitors.
We worked on small molecule inhibitors of histone deacetylase and d-carboline analogues as antitumor agents.
We also performed structure based in silico virtual high-throughput screening to identify hits against estrogen receptor alpha and topo poisons
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