Important Dates:

Last Date of Registration: November 15, 2022

Last Date of Registration: January 06, 2023

Date of Event: December 03-10, 2022

Date of Event: January 07-13, 2023

About the Course

The training program aims to cover the fundamentals of molecular docking methods, scoring functions, and the conformational searching technique in this molecular docking training course. Furthermore, a full explanation of numerous protein-ligand interactions will be presented, which are required to determine binding energies. Protein-ligand complexes are used to explain docking sessions. At present molecular docking and Molecular dynamics simulations methods are widely used to explore in drug discovery and to understand thermodynamics of biological macromolecules. Participants who complete this course will be familiar with molecular docking theory and molecular dynamics simulation methods.

Target Participants

People working in the fields of bioinformatics, drug discovery, biopharmaceuticals and Pharmaceutical industry or those who wish to have new venture in biotechnology led entrepreneurship can participate. Students, research scholars and young entrepreneurs from start-ups are also allowed.

Brief Outline of Course

• Introduction to Drug Discovery
• Protein database & Structure Modelling
• Molecular Docking
• Molecular Interaction Analysis
• Basics of Python and Python Data Types
• Basics of Linux Commands

The course will be delivered through lectures, demonstrations with examples, hands-on training on selected modules of the course such as Structure modeling, molecular docking through Auto-Dock, PyRx and molecular dynamics simulations through GROMACS.

Resource Person(s)

Dr. Pradeep Natarajan: Post-Doctoral Research Associate DBT-Center for Bioinformatics and Computational Bioinformatics NIT Rourkela

Dr. Praveen Kumar Guttula: Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada Department of Biochemistry, Microbiology, and Immunology, University of Ottawa Ottawa, Canada

Program details

Duration of training: One Week (January 07-13, 2023)

Timings : 06:00 PM – 08:00 PM

Mode of delivery: Lectures, Demonstrations, Hands-on-Training

Eligibility criteria: Students, Researchers, Faculties, Industry professionals

Fee : 500 INR / 10USD

Last date of registration: January 06, 2023

Registration link: www.mathtechedu.org

Mode of Training: Virtual mode

NOTE: Only registered participants can join this training. For joining, participants are required to login into their accounts. No link will be shared.

How to register for this event?

For registration, participants need to click on buy a ticket, then signup and complete the process. All the details about the event will be updated in your account. No extra link will be sent to join the sessions. You need to log in and sign in to join the session. For more details Click here

For registration click here

Organized by

MTTF-Society of Bioinformatics

under the aegis of

MathTech Thinking Foundation (MTTF)