Posted on 29 January 2019

Discovering new effective drug molecules is an expensive and challenging task. However, the need to identify new molecules is becoming essential due to development of resistance to existing drugs and discovery of new and important drug targets. Recent developments in computational lead identification and optimization methods have proven successful in many recent research programs to identify novel lead molecules.

This workshop will provide basic training in the area of computer-aided drug designing with main focus on topics like high throughput virtual screening, induced fit docking, protein structure prediction, pharmacophore modelling, QSAR studies, protein-protein docking, cysteine scanning etc. The content of this workshop is intended to be useful for all researchers hoping to do computer-aided drug design and computational biology work. The approach used will be introduction about the topic followed by hands-on session using different important drug targets by distinguished researchers from IIT Delhi, AIST (Japan) and Schrodinger Inc.

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Date Time Event
19 February 2019 9:30 am to 12:15 pm Introduction to structure-based drug designing, protein preparation, high-throughput virtual screening, binding site analysis
19 February 2019 2:00 pm to 5:00 pm Molecular docking and scoring functions, induced-fit docking
20 February 2019 9:30 am to 12:15 pm Homology modelling, pharmacophore modelling, QSAR
20 February 2019 2:00 pm to 5:00 pm ADME property calculation, protein-protein docking, residue scanning, protein aggregation analysis


Registration is open Last date -> 10 February 2019

Any student or research scholar working in the area of computer-aided drug designing is eligible to apply for registration. Since this is a completely hands-on training programme, only limited seats are available. Selected candidates intimated by e-mail.

Click here to register

Important Dates

10 February 2019 Last date for registration
19-20 February 2019 Workshop


Link for workshop material