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Date : January 11, 2002



BIOL 952: Introduction to Molecular Modeling



instructor: Krzysztof Kuczera, 5088 Malott, 864-5060, kkuczera@ku.edu

semester: Spring 2002

time & place : TR 8:30-9:20, Room 2025 Haworth

line # : 17625           Credit hours : 3

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The course consists of three parts: a "theoretical" lecture, a "laboratory" lecture and a computer laboratory. The lectures will be held in class. The computer laboratory part will be performed in small groups on computers at several sites on campus. The instructor and/or other qualified personnel will be available for consultation during laboratory hours and at other times as needed. This semester Gerald Lushington, the Director of the Molecular Graphics and Modeling Laboratory, will be teaching a module on quantum chemistry.

The goal of the course is to introduce students to computing and molecular modeling techniques so that they will be able to perform standard computational tasks as part of their research. There is no official textbook; the book by A. R. Leach is recommended. Some useful references are given below. There will be no separate exams in the class. The evaluation of performance will be based on laboratory reports, consisting of descriptions of methods, goals and results from the computer laboratory exercises performed during the semester.

The whole class is organized around a central Web site, at

    http://pekoe.chem.ukans.edu/~kuczera/Public/web/html/molmod.html

This site will contain all course materials : theoretical and laboratory lecture notes, tutorials for major software, manuals for computer laboratory exercises, modeling case studies as well as a mini-manual for UNIX.

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THEORETICAL LECTURE

  1. Introduction. Modeling with potentials (2 sessions).
  2. Where it all begins. Introduction to practical quantum chemistry. (3 sessions)
  3. Molecular mechanics. Describing molecules; Force fields : intra- and intermolecular terms; Algorithms : energy evaluation & minimization, conformational search, docking, constraints, molecular vibrations. (5 sessions).
  4. Molecular dynamics. Basic algorithms; Trajectory analysis; Applications; Special algorithms - boundaries, constraints, constant P,T etc. (5 sessions)
  5. Molecular modeling. Using bioinformatics databases; Basic macromolecular structure analysis; Sequence alignment; Homology modeling; Docking; (5 sessions)
  6. Special topics. Limitations and future trends. QM/MM methods. Data analysis. (1-3 sessions)
  7. Student seminar. Students present brief seminar based on a selected published article. (2-3 sessions)

LABORATORY LECTURE

  1. Introduction to UNIX, computer workstations, networking and the WWW
  2. Introduction to GAUSSIAN.
  3. BIOLAB: Introduction to modeling software
  4. QUANTA/CHARMM : describing molecules
  5. The Brookhaven Protein Data Bank
  6. Cambridge Structural Database
  7. QUANTA/CHARMM : structural and energetic dictionaries
  8. QUANTA/CHARMM : calculating energy
  9. QUANTA/CHARMM : energy minimization
  10. QUANTA/CHARMM : molecular vibrations
  11. QUANTA/CHARMM : manipulating molecules
  12. QUANTA/CHARMM: Conformational search
  13. AutoDock, DOCK, FTDOCK: Docking
  14. LIGPLOT, NACCESS, HBPLUS: structure analysis
  15. MODELLER: sequence alignment and homology modeling
  16. CHARMM : molecular dynamics
  17. CHARMM : solvation
  18. Optional: Special topics depending on interest of students and available time (e.g. QM/MM, computational spectroscopy, data analysis, Mathematica, ...)

COMPUTER LABORATORY


GENERAL INTRODUCTION: BIOLAB

0
Setting up computer accounts, lab groups and workstations (Week 1)
1
Introduction to UNIX and SYBYL program (Week 2)
2
Introduction to GAUSSIAN (Week 3)
3
Exploring the Protein Data Bank (Week 4)
4
RasMol and MolScript (Week 5)
5
Molecular graphics for screen, paper and Web (Week 6)
6
Molecular energy surfaces with QUANTA and CHARMM (Week 7)


COMPUTATIONAL BIOCHEMISTRY TRACK: COBLAB

7A
Normal mode analysis : water (Week 8)
8A
Conformational search : energy minimization (Week 9)
9A
Conformational search : molecular dynamics (Week 10)
10A
MD simulation of a small protein : BPTI in vacuum (Week 11)
11A
QM/MM simulation of enzymatic reaction (Weeks 12-13)
12A
Individual student-generated projects (Weeks 14-15).


MOLECULAR MODELING TRACK: MODLAB

7B
Bioinformatics: using the Web and the Cambridge Structural Database (Week 8)
8B
LIGPLOT, NACCESS, HBPLUS : analyzing macromolecular structures (Week 9)
9B
AutoDock and DOCK: docking (Week 10)
10B
MODELLER: sequence alignment (Week 11)
11B
MODELLER: homology modeling (Week 12-13)
12B
Individual student-generated projects (Weeks 14-15).



LITERATURE (in order of usefulness)

  1. A. R. Leach, Molecular Modeling. Principles and Applications, Addison Wesley Longman, 1996.

  2. A. K. Rappe and C. J. Casewit, Molecular Mechanics Across Chemistry, University Science Books, 1997.

  3. M. Karplus, G.A. Petsko, Molecular dynamics simulations in biology, Nature,347,631-639 (1990).

  4. W.F. van Gunsteren and H.J.C. Berendsen, Computer Simulations of Molecular Dynamics: Methodology, Applications and Perspectives in Chemistry, Angew. Chem. Int. Ed. Engl., 29, 992-1023, 1990.

  5. C.L. Brooks III, M. Karplus, B.M. Pettitt, Proteins: A Theoretical Perspective of Dynamics, Structure, and Thermodynamics, John Wiley and Sons, New York, 1988.

  6. J.A. McCammon and S.C. Harvey, Dynamics of Proteins and Nucleic Acids, Cambridge University Press, 1988.

  7. G. Todino, J. Strang and J. Peek, Learning the UNIX operating system, 3rd Ed, O'Reilly & Associates, 1993.

  8. J. M. Haile, Molecular Dynamics Simulation. Elementary Methods, John Wiley and Sons, New York, 1992.

  9. Allen & Tildesley, Computer Simulations of Liquids, Clarendon, Oxford, 1987.

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