Online Live Pharmacology-based Structure-Activity Relationships for Medicinal Chemists
This course describes the conversion of ‘descriptive’ (what we see) data in test systems to ‘predictive’ scales that are system independent and can be used to predict therapeutic activity.
About the Instructor(s)
Professor, University of North Carolina School of Medicine
Dr. Terry Kenakin is Professor of Pharmacology at the University of North Carolina School of Medicine. He is the author of 11 books on Pharmacology.
About the Course
Because drugs interact with ongoing physiology in the body, activity can be difficult to predict in therapeutic situations from single estimates of activity in test systems. The main (50%) reason for new drug candidate failure is lack of efficacy. The premise of this course is that pharmacology can now be used to yield more detailed and accurate profiles of drug efficacy that can be used to link activity in the clinic and also provide a better roadmap for follow-up candidates should molecules fail in the clinic.
- Four main predictive drug properties: affinity, efficacies, allosteric vs orthosteric target engagement, offset rate to predict target coverage in vivo
- Target activity: enzymes, receptors (agonism, antagonism), protein-protein interactions (allosteric effects), allosteric modulators as drugs
- Prediction of drug activity under varying physiological conditions in vivo
- Measurement of target-ligand kinetics to predict in vivo target coverage
What You Will Learn
- The pharmacological tests that can yield system-independent universal constant of drug activity
- How a homogeneous set of drug parameters obtained from fitting data to mathematical models can be used to succinctly characterize complex behaviors (namely with allosteric modulators)
- See examples of SAR threads for receptor agonists, antagonists, allosteric modulators, enzyme inhibitors and how pharmacological parameters can clearly put order in otherwise seemingly chaotic effects
Who Should Attend
Medicinal and synthetic organic chemists, biologists involved in drug development, any scientist involved in process of drug discovery, production and approval.
Lecture 1: The four (4) critical parameters needed to describe all drug action: Affinity, efficacies, Allosteric vs Orthosteric interaction, kinetics target offset.
Lecture 2: Receptors: Cell response activation (agonists), concept of efficacy, predicting agonism in all tissues, biased signaling
Lecture 3: Receptors: Antagonists: measurement of equilibrium dissociation constants for antagonist-receptor interaction, inverse agonism
Lecture 4: Allosterism and alteration of large Protein-protein interactions: quantification of cooperativity for affinity (a effect) and efficacy (b effect)
Lecture 5: Kinetics: measurement of real time kinetics and prediction of target coverage in vivo
Lecture 6: Enzyme inhibition: Measurement of competitive, non-competitive, uncompetitive and mixed enzyme inhibition; differentiation of mechanism
Dates, Locations, and Prices
Five for four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. The free registration will be the course of the lowest price. Please note: This discount cannot be combined with any other discount offered.
Oct 04 - Nov 08, 2022
(10/4, 10/11, 10/18, 10/25. 11/1 and 11/8)
|Early Bird||Full Price|
|Member or Associate(Standard or Basic Package)||$1295|