Introduction to Computational Molecular Bioengineering
Designed to introduce students to the principles, methods, and software used for simulation and modeling of macromolecules of biological interest such as proteins, lipids, and polysaccharides. Along with experiment and theory, computational modeling provides new tools for analysis, explanation and prediction. The course is also useful for students who plan to use experimental techniques as their primary approach, but who will employ computational modeling as a tool to obtain integrative understanding of complex systems. Finally, the course should be valuable as an introductory overview for students planning to conduct their thesis research in computational modeling of biological systems. Class topics: Basic statistical thermodynamics, Force fields, Molecular dynamics/ monte carlo methods, Conformational analysis, Fluctuations & transport properties, Free-energy calculations, Multiscale modeling.
Topics
- Basic statistical thermodynamics
- Force fields
- Molecular dynamics/ monte carlo methods
- Conformational analysis
- Fluctuations & transport properties
- Free-energy calculations
- Multiscale modeling
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: Minimum grade of C- in BIOE232 , BIOE372 , and BIOE442 ; and minimum grade of C- in BIOE371 or BIOE246 ; or permission of Fischell Department of Bioengineering. Restriction: Permission of ENGR-Fischell Department of Bioengineering department.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Computational Molecular Bioengineering · 3 Credits