AMS-536 Molecular Modeling of Biological Molecules
Please see http://ringo.ams.sunysb.edu/~rizzo for Rizzo Group Homepage (Research and Teaching)
|Instructor||Dr. Robert C. Rizzo [631-632-9340, firstname.lastname@example.org]|
|Teaching Assistant||Brian Fochtman [631-632-8519, email@example.com] and Jiaye Guo [631-632-8519, firstname.lastname@example.org]|
|Course No.||AMS-536 / CHE-536|
|Location/Time||Math Tower, Room S235 (COMPUTER LAB next to SINC site), Mon/Wed 2:30PM - 3:50PM|
|Office Hours||Anytime or by appointment, Math Tower, Room 3-129, Dept. of Applied Math & Statistics|
|Acknowledgments|| The AMS-536 instructors would like to thank: |
(1) Chemical Computing Group at http://www.chemcomp.com for generously providing MOE software teaching licenses
GENERAL INFORMATION: AMS-536 is designed for students who wish to gain hands-on experience modeling biological molecules at the atomic level. In conjunction with the participants' interest, Molecular Mechanics, molecular dynamics, Monte Carlo, Docking (virtual screening), or Quantum Mechanics software packages will be used. Projects will include setup, execution, and analysis. Students will work on individual projects outside of class. Course participants will give presentations relevant to the simulations being performed and a final project report will be required. Grades will be based on the quality of the talks, participation in class discussion, attendance, and the final written report. Familiarity with working in a Unix (Linux) environment is desirable.
- (1) Gain hands-on experience modeling biological molecules at the atomic level.
- (2) Learn to navigate linx/unix operating system
- (3) Learn shell scripting and text-based editing (vim program)
- (4) Learn to use a linux-based computing cluster that has a queuing system
- (5) Learn to use visualization software (Chimera, MOE, and VMD programs)
- (6) Setup, execute, and analyze docking (DOCK) and molecular dynamics (AMBER) tutorials.
- (7) Give oral presentations on individual research projects which includes:
- (i) Introduction/Background (include biological relevance)
- (ii) Specifics of Your System
- (iii) Computational Details (theory)
- (iv) Computational Details (system setup)
- (v) Results and Discussion (include a critical interpretation of your results)
- (vi) Conclusions
- (vii) Future
- (viii) Acknowledgments
- (8) Write a polished well-referenced manuscript in the format of a peer-reviewed Journal Article.
LITERATURE DISCLAIMER: Hyperlinks and manuscripts accessed through Stony Brook University's electronic journal subscriptions are provided below for educational purposes only.
PRESENTATION DISCLAIMER: Presentations may contain slides from a variety of online sources for educational and illustrative purposes only, and use here does not imply that the presenter is claiming that the contents are their own original work or research.
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