Instructor: Professor Emily Fogle
In this workshop, you will learn about protein chemistry and performing assays:
- Become familiar with the use of pipets and other volumetric equipment in a biochemistry lab
- Use a standard curve to determine the concentration of an unknown protein
• Manipulate and analyze protein structure using the viewer Jmole/Firstglance
• Understand the importance of non-covalent interactions in protein-protein and protein-ligand interactions using Jmol/Firstglance to visualize and compare non-covalent interactions in protein structure
• Learn to perform an enzyme-linked immunosorbent assay (ELISA)
• Understand the antibody-antigen interactions and how the ELISA technique uses antibodies to detect and quantitate an analyte
• Determine IC50 values for inhibitors of an enzyme and correlate the values to the non-covalent interactions observed in protein structure
Data-Driven Discovery of New Drugs and Active Molecules
Instructor: Professor Erik Sapper
Molecular modeling, informatics, and quantitative structure-activity relationships (QSAR) are powerful tools used to infer complex relationships within extremely large and complex data sets. An example of one such application is in the discovery of new pharmaceutical drugs and active compounds. Large sets of known molecules and their properties may be used in a computational process for discovering new molecules based on performance trends, analysis of molecular descriptors, and leveraging of machine learning models such as artificial neural networks and evolutionary algorithms. Students will leave the workshop with a better understanding of how data science and informatics may be used to accelerate the discovery of new drugs and active molecules.
Advance Pharmacy Practice Experience - Acute Care/Inpatient
Instructor: Chad Signorelli, Pharm. D.
Instructor: Hossam Gamal, Pharm. D.
Students participating in this rotation will be exposed to various aspects of clinical pharmacy practice in the inpatient setting. Under the direct guidance of a clinical preceptor, the students will function as an integral part of the health care team performing numerous activities in accordance with the concept of total patient care. Clinical site activities will include, but not limited to:
- Presenting patient case studies emphasizing rational drug therapy.
- Participating in daily work rounds.
- Providing patient education and drug information.
- Presenting the role of the pharmacist in the inpatient setting and the workflow during the pharmacy hours.
- Explain the difference between inpatient and outpatient setting at the hospital.
- Monitor IV medications getting prepared in the IV room at the hospital for the inpatients.
Natural Products and Drag Discovery
Instructor: Professor Jennifer Carroll
The isolation and characterization of natural products is the cornerstone of pharmaceutical development. Up to 80% of currently available pharmaceuticals are originally sourced from nature, or are derivatives of naturally occurring compounds (1). Our “Natural Products and Drug Discovery” project will introduce students to the fundamentals of isolation, biological testing and structure elucidation of small molecules. Students will become familiar with organic structure analysis including current literature database searches, steam distillation, chemically active extraction and spectroscopic characterization. Analysis of small molecules will include techniques such as gas chromatography, mass spectroscopy and nuclear magnetic resonance.
Analytical Techniques in Drug Design
Instructor: Professor Zahra Alghoul
The drug design process goes through several steps that include synthesis, characterization, and packaging. In this series of activities, students will use analytical chemistry techniques for characterization of pharmaceutical solutions, tablets, and ointments. The selected experiments introduce students to measurement techniques, general laboratory skills for preparation of standard solutions and samples for analysis, and identification and quantification of compounds through instrumental analysis.