BCHEM 582. Enzymology: Structure, Energetics, and Functions- B. Practical Aspects of Molecular Interactions and Reactions
Description / Overview:
The fundamentals of biochemistry in evaluating the forces that govern inter-molecular interactions will be explored. The course will focus on practical application of techniques to binding and reactivity that students in any lab in the college will find useful. The course will provide students with fundamental knowledge in biochemical structure/function relationships that the student can apply to their research.
Goals / Objectives:
The objectives of this course are to provide students with the wherewithal to interpret and design experiments aimed at elucidating the mechanisms of enzyme catalyzed reactions.
Syllabus
1. Inter-molecular interactions
2. The algebra of protein-ligand binding equations (thermodynamics)
3. Techniques to study protein-ligand, protein-protein, and protein-DNA interactions
a. EMSA
b. Radioactivity
c. Fluorescence and FRET
d. Isothermal titration caliometry
4. Introduction into mechanisms of enzyme catalysis
5. Steady-state enzyme kinetics
6. Enzyme inhibition
BCHEM 583. Enzymology: Structure, Energetics, and Functions- C. Mechanisms of Enzyme Action
Description / Overview:
The fundamentals of biochemistry in evaluating the forces that govern inter-molecular interactions will be explored. The course will focus on practical application of techniques to binding and reactivity that students in any lab in the college will find useful. The course will provide students with fundamental knowledge in biochemical structure/function relationships that the student can apply to their research.
Goals / Objectives:
The objectives of this course are to provide students with the wherewithal to interpret and design experiments aimed at elucidating the mechanisms of enzyme catalyzed reactions.
Syllabus
1. Mechanism of enzyme catalysis
2. Steady-state and pre-steady-state kinetics
3. Case study of elucidation of the mechanisms of an enzyme catalyzed reaction. Specific example will depend on interest of students.
4. Case study of selective inhibition of enzyme toward the creation of a small molecule therapeutic
BMS 512. Experimental design and data analysis for the laboratory scientist
Description / Overview:
Biology is becoming increasingly computational as new technologies are producing massive amounts of data. The experiments must be properly designed, and the resulting quantitative data needs to be organized, graphed, and interpreted. This course will teach students the theoretical and practical aspects of experimental design, processing of data, and statistical analysis. The course will combine basic statistics (t-tests, ANOVA, linear and non-linear curve fitting) and Matlab programming. The statistical understanding will be used to design appropriate experiments and controls. This course will pair lectures describing the theory and problem solving.
Goals / Objectives:
The goals of this course are to teach students to design experiments with data analysis in mind. In addition, the students will learn to perform appropriate statistical analyses on their data including the t-test, ANOVA, linear regression, and non-linear curve fitting. The students will use the computer program Matlab to perform these analyses.
Syllabus
1. It’s not error, it’s variability
2. Plotting data, getting rid of the bar plot
3. Hypothesis tests
4. Multiple comparisons
5. Non-parameteric tests
6. Replication, power and the P-value
7. Designing comparative experiments
8. Correlation, regression and models
9. Non-linear curve fitting
10. Intro to Cluster Analysis
11. Image analysis