Course Name: Thermodynamics for Biological Systems : Classical and Statistical Aspect

Course abstract

Thermodynamics is one of the essential tools to analyze biological systems. Thus, it is essential that an undergraduate in biological engineering knows the relevant thermodynamics principles. Classical thermodynamics is suitable for analysis in the continuum domain, whereas when the number of molecules per cell is less than say 100, the principles of classical thermodynamics are invalid for that species. However, the principles of statistical thermodynamics can be used to analyze such situations, and other situations too. Therefore, this course will cover both classical and statistical aspects to provide a complete set of tools to a biological engineer to thermodynamically analyze bio-systems. Such an analysis will help in manipulation and design of bio-systems.


Course Instructor

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Prof. G. K. Suraishkumar

Prof. Suraishkumar G K is a Professor in the Department of Biotechnology, Indian Institute of Technology Madras (IITM). He has been at IITM as a Professor since May 2004, and was earlier a faculty member in the Department of Chemical Engineering at the Indian Institute of Technology Bombay (IITB) from April 1993 until mid-May 2004. He was also an Associate Faculty member in the erstwhile Centre for Biotechnology, which is now the Department of Biosciences and Bioengineering, at IITB, between 1995 and 2004. He earned his Ph.D. from Drexel University, Philadelphia, USA in 1993, and his B.Tech. in Chemical Engineering from IITM in 1986. He also did his Masters work at the University of Cincinnati, USA, between 1986 and 1988.
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Prof. Sanjib Senapati

Sanjib Senapati is a Professor in the Department of Biotechnology, Indian Institute of Technology Madras (IITM). His research group at I.I.T. Madras focuses on understanding the relationship between protein structure, function, and dynamics. Research is focused into two major sub-groups: 1) molecular modeling of enzyme-substrate/enzyme-inhibitor interactions and 2) structure-based drug designing. Studies are performed using computer simulation methods ranging from all-atom and coarse-grained molecular dynamics simulations, Monte Carlo simulations, protein-ligand and protein-protein docking. General properties that we address include change in protein structure and dynamics upon binding inhibitors and with mutations, ligand binding strength and specificity, and bound water structure.
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 Course Duration : Jan-Apr 2022

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 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Mar-2022

 Exam Date : 24-Apr-2022

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Enrollment Statistics

Total Enrollment: 222

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