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Advanced data analysis for GPCR pharmacology
Dr. Samuel Hoare
On Demand
4 modules - 8 hours total
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- Early-bird access
- Recordings will be available
Main objectives:
Learning how to perform advanced GPCR pharmacology data analysis in support of drug discovery and GPCR research, shown with GraphPad Prism.
Understanding the pharmacology data analysis framework we use for GPCRs.
Appreciating the practical realities, limitations, and tradeoffs of GPCR data analysis.
Learning many tips and tricks to improve your data analysis's quality, reliability, and efficiency.
The participants will increase their ability to perform, understand, and communicate GPCR pharmacology data analysis to a high level, as well as expertise that can be applied in drug discovery and target research to maximize the chances of project success.
The increased understanding will also be helpful for the participants in their training and education of entry-level scientists. Attendees will be provided with Prism files, Excel templates and simulators, and the PowerPoints of the workshop modules.
Modules:
Module 1 - Concentration-response analysis: Become a CRC super-user.
Module 2 - Quantifying agonist pharmacology and biased agonism.
Module 3 - Antagonist pharmacology and binding assay analysis.
Module 4 - New dimensions of activity: Allosteric modulators and kinetics.
Good to know:
Classes will be live from Zoom on Thursdays from 10 am to 12:00 pm EST.
Sessions will include a one-hour live lecture plus one hour of Q&A and discussion. Every participant will also have a 1:1 meeting with Dr. Hoare during or after the four weeks, scheduled according to the professor's availability.
Participants who complete the course will get an online certification signed by the professor and the Dr.GPCR Team.
Your Instructor
Dr. Samuel Hoare
Sam Hoare is a pharmacology data analyst with 30 years experience in GPCR pharmacology. He consults with numerous pharmaceutical, biotech, life science and academic organizations in understanding and applying in vitro pharmacology data to advance drug discovery and target research. He regularly teaches courses and publishes chapters and guides on basic and advanced pharmacology and experimental design. Sam is an editor at the NIH Assay Guidance Manual.
Sam specializes in kinetic analysis of drug action and is known for applying binding and signaling kinetics to the development of effective therapeutics. He worked as a pharmacology leader in the pharmaceutical industry for 15 years at Neurocrine Biosciences, guiding the in vitro biology efforts for numerous drug discovery campaigns. He completed his Ph.D. in biochemistry, studying allosteric modulation of dopamine receptors, from the University of Kent in the United Kingdom. He completed postdoctoral training at the National Institute of Mental Health, researching the pharmacological mechanisms of Class B GPCRs.
