This course is designed to provide a survey of biochemistry topics relevant to those in the allied health and pre-medicine fields of study.

This course focuses on application of molecular biology techniques to a broad range of biochemistry topics and provides a basic survey of information relevant to students in allied health and pre-medicine fields of study.

This course is the first course required for biochemistry majors; the course is also recommended for other majors who intend to study advanced biochemistry. Topics covered include protein structure, protein function, membranes, enzyme catalysis, bioenergetics, carbohydrate metabolism, and lipid metabolism.

This lab explores laboratory methods in biochemistry including electrophoresis, chromatography, cell fractionation, enzyme assays, ligand interactions, and recombinant DNA technology.

This course is the second course required for biochemistry majors; it is also recommended for other majors who intend to study advanced biochemistry. Topics include quantitative analysis of assembly and mechanisms of molecular machines involved in metabolic and information transfer processes, how proteins bind proteins, nucleic acids, and ligands, as well as the methods for characterizing structures and interactions. This lecture-based course meets three hours a week.

This course discusses gene organization and replication; control of gene expression in transcription and translation; application of recombinant DNA techniques.

This course addresses elements of protein structure and structural motifs, structure determination methods; protein folding and stability; enzyme kinetics and mechanisms; structure-function relationships.

This course covers biopolymer types and conformations; solution properties of biopolymers; macromolecular equilibria; hydrodynamic behavior; determination of size and shape; biopolymer separations; introduction to biological spectroscopy.

This course covers the fundamentals of programming using the scripting language Python and is geared towards chemistry graduate students with a need to process data in novel ways. Students are introduced to programming through the use of example problems researchers often face in chemical and biochemical research. No previous knowledge of programming is required.

May be repeated to a maximum of sixteen semester hours.

May be repeated to a maximum of sixteen semester hours.