Resources
Signaling Kinectics
Recently there has been an explosion of interest in the kinetics / timing of signaling, enabled by biosensors of signaling. We developed equations to enable you to do curve fitting on the time course data. Plug-in equation libraries for GraphPad Prism are available for free.
Signaling Kinetics Analysis
How to perform signaling kinetic analysis in GraphPad Prism
Binding Kinetics
Binding kinetics of test compounds is often measured in competition binding assays, using the Motulsky and Mahan equation to quantify the binding rates. We have extended this equation to handle some new scenarios. First, to handle rapidly-dissociating compounds. Second, to handle new ways of setting up the assay, so you can do the experiment the way you want.
Prism technical note
Extensions of the kinetics of competitive binding equation for rapid competitor kinetics or alternative assay designs
Rapid dissociation
How to analyze competition kinetics when the competitor dissociates rapidly
New Assay Formats
How to analyze competition kinetics with alternative assay designs
Allosteric Modulation
Allosteric modulation provides new dimensions of drug activity and avenues for target selectivity. Numerous investigators have derived equations for analyzing allosteric pharmacology data. We installed these equations in a free plugin for GraphPad Prism so you can use them easily.
Allosteric Modulator Analysis
How to perform allosteric modulator analysis in GraphPad Prism
Allosteric equations
Allosteric binding and signaling equations in GraphPad Prism template files
Binding Kinetics and PK
How do binding kinetics affect occupancy when the ligand concentration is changing over time? You can explore this with these free Excel-based simulators, without the need to learn how to use sophisticated software.
Binding kinetics with PK simulations
Simulate how binding kinetics and pharmacokinetics intersect to define target engagement, using Excel
Assay Artifacts
Pharmacology data analysis for quantifying drug potency (Kd, EC50, Ki etc) was developed a century ago. This analysis assumes the target density is low and the assay is at equilibrium. These assumptions are often violated by new technology, e.g. in DEL and mass spec selections. See below for explainers and simulators to help you understand and manage this issue.
Assay artifact simulators
Simulate how target concentration and incubation time affect your assays, using Excel
Youtube Workshop
The Problems of Applying Classical Pharmacology to Modern Drug Discovery
Open Access Research
The Problems of Applying Classical Pharmacology Analysis to Modern In Vitro Drug Discovery Assays: Slow Binding Kinetics and High Target Concentration
Why Choose Pharmechanics?
Pharmechanics was founded by Dr Sam Hoare in 2017, with the goal of helping pharmacologists analyze, interpret and apply their data to accelerate drug discovery and basic research on drug targets. See testimonials here to see how I can support your science.
Sam is a globally-recognized expert on industrial, applied and theoretical pharmacology. As Lead Pharmacologist at Neurocrine Biosciences, his leadership, experience and insights were instrumental in the pharmacological optimization of three novel FDA-approved therapeutics, and several more compounds in clinical development.