In-silico screening of inhibitors for tyrosine-kinases using MD simulations and free energy calculations

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SIAS Research Center

Project Code: RP24Chem02

In-silico screening of inhibitors for tyrosine-kinases using MD simulations and free energy calculations

Abstract

Tyrosine kinases are enzymes that phosphorylate tyrosine residues of
various substrates. These enzymes are often overexpressed in cancer
cells. Inhibition of tyrosine kinases is an alternative way to prevent
cancerous cell growth. One of the most pathologically important kinases
is Bruton’s tyrosine kinases or BTK enzymes. Inhibition of the BTK enzyme
can lead to an alternative pathway to treat Alzheimer’s as well as other
neurodegenerative diseases. Inhibition of BTK enzyme can also provide
the necessary cure for autoimmune diseases, such as Lupus. To search
for inhibitors against the BTK enzyme, we will design a computational
workflow to search available FDA-approved and other drug databases
and use high-throughput screening using molecular docking to identify
potential candidates.

Expected Outcomes

Keywords: Computational Chemistry, Molecular Dynamics, GROMACS

Basic experience working with Linux-based operating systems, and Gromacs MD simulation software is desired, but not mandatory. 

The potency of the screened drug candidates will be studied using atomistic MD simulations and free energy calculations

Mentor

Dr. Bibhab Bandhu Majumdar

Assistant Professor

Who Can Apply

MSc Chemistry, Biology
MTech
Research Scholar

Other Features

  • Two-month online program 
  • Weekly meeting and progress evalustion 
  • Project completion certificate 
Project Code: RP24Chem02