13th New Enzymology Kinetics Workshop

May 26-30 2019, Brno Czech Republic

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modern kinetic analysis 4-day intensive with Dr. Kenneth A. Johnson

Modern kinetic methods coupled with high resolution structural data provide a powerful tool to establish reaction mechanisms. In this intensive four-day course taught by Dr. Kenneth A. Johnson, modern kinetic analysis using a variety kinetic and equilibrium methods will be detailed using numerous examples on proteins and nucleic acids. The course will focus on developing the path from experimental design to data collection and analysis to yield new mechanistic insights.

In 30+ hours of instruction you will:

  • Understand the dynamics of enzyme reactions
  • Plan and execute informative kinetic experiments
  • Fit kinetic data to extract mechanistic information
  • Understand the information content of kinetic data
  • Use simulation to predict results
  • Fit data directly to your model
  • Fit pharmacokinetic/dynamic and SPR data
  • Globally fit multiple experiments to a single unifying model

A central feature of the course is the use of KinTek Explorer software to learn kinetics and rigorously fit data. Participants will receive a one-month license for the software (for Mac and Windows) to use during and after the course. Tutorials on the use of computer simulation will develop an intuitive understanding of reaction kinetics, and hands-on problem solving will facilitate integration and mastery of the course material.

A complete schedule and detailed breakdown of program content followed by an online registation form can be found below. This information is also available as a downloadable PDF document.

The figure above shows the simultaneous fitting six experiments to define the kinetics and equilibria for the binding of ssDNA to the human mitochondrial ssDNA binding protein. This work was featured as an Editors’ Pick in the Journal of Biological Chemistry, July 2017.

Workshop Schedule

Hotel International Brno

Program Content

  1. Steady state kinetics. The information content of steady state kinetic measurements will be described by presenting the meaning of the kinetic constants, what they tell about a reaction mechanism and what they do not reveal. Understanding the limitations of the information available from steady state kinetics highlights the need for techniques to examine directly the reactions occurring at the active sites of enzymes. We will also cover the kinetics of enzyme inhibition and enzyme activation. We will also discuss the relationships between the binding rate and the steady state kinetic parameter kcat/Km and the principles governing enzyme efficiency and specificity.
  2. Equilibrium binding measurements. An overview of the methods and importance of equilibrium binding measurements will be presented. Equations for data fitting will be discussed with an emphasis on choosing the right equation and fitting by nonlinear regression. Moreover, we will reveal novel methods for simulating equilibrium titrations so that kinetic and equilibrium data can be fitted simultaneously.
  3. Introduction to rapid mixing methods. The basis for rapid mixing methods will be described to provide mechanistic information that can be interpreted directly relative to reactions occurring at the active sites of enzymes. Basic principles of mixing methods will be described to highlight the potential and limitations of the methods in principle and in practice. Stopped-flow and chemical quench-flow will be described. We can also model temperature-jump experiments as part of a comprehensive global data fitting.
  4. Fundamental principles of reaction kinetics. The basic principles of reaction rate measurement will be described including the difference between initial rate and full time course rate measurements. The simple math behind exponential reaction kinetics will be presented as a prelude to understanding the equations used in data fitting for more complex reaction pathways. These principles lay the foundation for understanding data fitting based upon numerical integration of the rate equations (simulation) with no simplifying approximations.
  5. Data fitting principles and practice. The use of non-linear regression and computer simulation in data fitting will be discussed. Equations will be presented for general use in data fitting and the meaning of the kinetic parameters will be described. Moreover, fitting to equations reveals patterns in the data that help to develop a model and serve as a basis for global data fitting based upon computer simulation. Throughout the course, we will emphasize the developing of intuition that allows for understanding more complex reaction schemes.
  6. Kinetics of ligand binding. We will begin a discussion of reaction kinetics with the binding of a ligand to a protein or nucleic acid. The basis for the reaction conditions needed to achieve pseudo-first-order kinetics and the importance of analysis of the concentration dependence of the rate will be discussed. Examples will include the binding of fluorescently labeled oligonucleotides to ribozymes, ATP to motor proteins and substrates to enzymes.
  7. Kinetics of multi-step reactions. The kinetics of two-step reactions will be described under different scenarios including circumstances under which all four rate constants governing a two step binding reaction can be obtained from the concentration dependence of the observed rates. The principles that govern the design of experiments and the modeling of data to distinguish alternatives will be discussed.
  8. Analysis of chemical-quench-flow data. Chemical-quench-flow experiments are often more difficult to perform, but more easy to interpret because of the absolute amplitude information and the direct measurement of the conversion of substrate to product eliminates ambiguities in the possible interpretations. We will discuss the design and execution of chemical-quench-flow studies, including the basis for pre-steady-state burst experiments and substrate trapping experiments.
  9. Interpretation of fluorescence signals. The particular difficulties of interpretation of signals in the stopped-flow will be described by outlining the possible origins of the optical changes observed relative to the individual species in a reaction sequence. Particular difficulties in the interpretation of fluorescence data will be highlighted and solutions to these problems will be presented based upon computer simulation and global data fitting.
  10. Single turnover kinetic studies. The best experiments to look for enzyme intermediates are based upon studies of the conversion of substrate to product with enzyme in excess over limiting substrate. The design criteria for such experiments and their interpretation will be described with examples from EPSP synthase, which will also serve to highlight the pitfalls of interpreting structural data in the absence of kinetic data.
  11. Global fitting methods. The new KinTek Explorer software will be introduced. This powerful, dynamic software allows new insights into understanding kinetics, planning experiments and fitting data. Methods for fitting data directly to kinetic models by computer simulation will be presented. The difficulties and challenges as well as the benefits of this modern approach will be discussed, including examples involving the fitting of real and simulated data. In addition, we will explain conditions under which conventional data fitting methods fail, requiring the use of computer simulation.
  12. Single-molecule kinetics. Rationale, methods and analysis for single molecule kinetic studies will be described. The unique capabilities as well as the challenges in examining kinetics of single molecules will be presented, based upon several outstanding examples including HIV reverse transcriptase, DNA sequencing, RNA folding and the kinesin ATPase motor protein. New methods of fitting single molecule kinetic data will be presented.
  13. SVD analysis of time or concentration-dependent spectra. Singular value decomposition (SVD) allows resolution of the time dependence and spectra of individual species in a reaction. This method will be introduced and explained, with the simplicity of the powerful KinTek Explorer software.
  14. SPR kinetics. Although there are still limitations to interpretation of SPR (Surface Plasmon Resonance) measurements due to surface and mass transfer effects, KinTek Explorer provides a method to afford rigorous analysis of SPR data. In this workshop, we will teach some of the shortcuts to make modeling SPR data easy and fast and what to watch out for in designing and interpreting results.
  15. Pharmacokinetics/dynamics. KinTek Explorer provides the most powerful platform for modeling and fitting pharmacokinetic/dynamic data. The user can easily enter any model. Compartments are modeled as species and rate constants contain a term for volume of the compartment. In the workshop, we will show how easy it is to rigorously fit pharmacokinetic/dynamic data and predict phenomena that you may not be able to observe directly.

Additional Notes

Participants must bring a laptop in order to develop expertise in the use of KinTek Explorer to simulate kinetics. This powerful new tool provides hands-on experience in relating observable kinetic data to underlying models, enabling researchers to pose questions such as: What would the data look like for a given model? Can a proposed experiment distinguish alternative models? Which rate constants are determined by these data? Moreover, KinTek Explorer Software will be used to illustrate the fitting of data by nonlinear regression directly to a model. Fitting data by simulation directly to a model represents a significant paradigm shift that requires the development of some intuition and insight. In this short course we will work to develop that intuition and teach the skills needed for rigorous data analysis. Please familiarize yourself with KinTek Explorer in advance by downloading the free software, watching video tutorials, and reviewing the manual if you have not done so already.


Use the form below to register and pay securely with your credit card, once for each attendee. Registration is limited and early discounts apply. Included in the registration fee: Course materials including a 120 page booklet on kinetics, opening reception, final banquet, and breakfast, morning/afternoon breaks, and lunch, daily. Cancellations received by 1 March 2019 will receive a full refund.

Industry/Private Sector Academic/Govt Grad Student
Before 1 March 2019 $2980 $1490 $995
After 1 March 2019 $3480 $1750 $1250
Reduced room rates (98EUR single/118EUR double) are available with code KinTek2019.

Hotel International Brno reservation@hotelinternational.cz

Local Workshop Contact Professor Zbynek Prokop, Ph.D.
Loschmidt Laboratories at Masaryk University

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