Chem 590 moduleNMR analysis of dynamic systems Outline A. Intro to dynamic systems B. Stoichiometry and K assoc by NMR C. Thermodynamic parameters by NMR.

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Chem 590 moduleNMR analysis of dynamic systems Outline A. Intro to dynamic systems B. Stoichiometry and K assoc by NMR C. Thermodynamic parameters by NMR D. Assembly kinetics by NMR E. Other techniques — Student presentations UV-Vis Fluorescence Isothermal titration calorimetry Potentiometry

Learning Aims A. Become familiar with dynamic systems and the meanings of the quantities used to characterize them. B1. De-mystify the black-box of K assoc determinations by all methods. B2. Obtain in-depth understanding of the math and models for 1:1 binding equilibria. B3. Understand the mathematics of the 1:1 binding isotherm, its applications, and its limitations. B4. Gain a comprehensive understanding of how  arises when looking at dynamic systems. B5. Get practical, step-by-step instructions for determining stoichiometry and K assoc by NMR. C. Learn how NMR can be used to determine ∆H and ∆S for a given equilibrium D. Achieve a beginner-level understanding of studying kinetics by NMR. The goal is to allow you to understand literature, not to teach you how to do the experiments. E. Get a beginner-level understanding of other methods for determining K assoc UV-Vis, Fluorescence,Isothermal titration calorimetry, Potentiometry

Dynamic systems and supramolecular chemistry

Dynamic systems are driven by weak interactions Electrostatic interactions Dispersive forces Hydrogen bonds Aromatic-aromatic interactions and cation-pi interactions The hydrophobic effect + – + – + – Ion–Dipole interactions Dipole–Dipole interactions

6 H 4 L + 4 Ga(acac) KOH + 12 Et 4 NClK 5 [Et 4 N] 7 [Ga 4 L 6 ] (+ H 2 O, KCl, etc) H4LH4L[Ga 4 L 6 ] 12– A complex metal-ligand assembly

A chiral guest allows resolution into enantiomeric cages Et 4 4 L 6 ] 4 L 6 ∆∆∆∆-[Ga 4 L 6 ] Resolution of diastereomers Guest exchange Et 4 ∆∆∆∆-[Ga 4 L 6 ] Exchange back to achiral guest without loss of host chirality

Exchange of L 1 for L 2 occurs without complete disassembly Et 4 ∆∆∆∆-[Ga 4 L 1 6 ] + 6 L 2 Et 4 ∆∆∆∆-[Ga 4 L 2 6 ] + 6 L 1

Cation-π interactions: Factor Xa – inhibitor binding Aromatic cage K d = 0.28  MK d = 29  M S4 pocket -lined by aromatic residues

Lysozyme mutants fold more weakly when hydrophobic groups are shrunk down to Ala ∆∆G correlates with hydrophobic (interfacial) surface area! cal/mol for each Å 2

Cyclodextrin hosts bind hydrophobic guests with different contributions from ∆H and T∆S

Rates of exchange and NMR N-methylformamide (left) and methyl formate (right) in CDCl 3 at 90 MHz

Calculated barriers to rotation transcistrans HF 3-21G (Gas phase) cistrans

Rates change as a function of temperature Variable temperature NMR of DMF

Slow exchange: integration to determine complex stoichiometry * Integration of methoxy (*) and adamantane () signals gave a 4:1 molar ratio. (Later confirmed by X-ray) *

A Practical Guide — Job plot sample prep AA A∆A∆ 1. Prepare stocks [A stock] = 5 mM [B stock] = 5 mM 2. Create samples with fixed [A t + B t ] as below: 3. Record , calculate  , Plot as shown at right

More Examples of Job Plot Data

Diffusion-Ordered SpectroscopY (DOSY) Stokes-Einstein relationship:D = kT / 6π  R H D = diffusion coefficient k = Boltzmann constant  = solvent viscosity R H = hydrodynamic radius, which can be related to MW by calibration on related molecules

DOSY for a host-guest complex

A system in fast exchange – real data for  free and  bound [peptide] t = 1 mM

Hypothetical curves for f 11 vs. conc. plots based on the generalized 1:1 binding isotherm

Exemplary NMR Titration Data Schalley et al. Chem. Eur. J. 2003, 9, Average K assoc = 180 M –1

A Practical Guide — Sample preparation Choose starting concentrations 1. Prepare 5 mL of stock A 2. Remove 0.6 mL of stock and put in NMR tube 3. Calculate amount of B needed to make 4 mL of B at 30x [A] 4. Weigh that amount of B into vial, and dissolve in 4 mL of stock A 5. Transfer that titrant into a gas-tight 100 or 250 uL syringe All of this ensures that A t stays constant throughout titration

A Practical Guide — Titration 1.Record NMR to determine  free 2.Add 10 uL of titrant 3.Record NMR again 4.Repeat… Hints: -You want to observe a significant  with each addition. You want lots of data points on the curved part of the isotherm. You want to get as close to saturation as possible. This will require making judgments on the fly and increasing the amount you add as you go along. It is not unusual for the increments to start at 10 uL and to be 250 uL by the end of the titration. - Mix well at each addition (invert >5 times). Mixing is slow in a narrow NMR tube.

A Practical Guide — Data Analysis 1. In a spreadsheet, record  obs and total volume of titrant added for each spectrum. 2. Convert to the y and x values needed for plotting,  obs and B t. 3. Input these two columns of data into Origin. 4. Fit to the 1:1 binding isotherm to determine the parameters  max and K assoc. Be sure to try a few different initial guesses. Be sure to check the quality of fit. If you haven’t already done so, confirm stoichiometry by Job plot or other method.

Exemplary Data — van’t Hoff Plots Normally 4-5 values for T are enough Rafaella Faraoni, PhD thesis, ETH Zurich

Exemplary Data — Very Slow Exchange Kinetics Exchange of guest P (complex 1P1; triangles) for guest A (complex 1A1; squares) was followed over 4 hours taking a new NMR measurement every 5 minutes. Rebek et al. Proc. Nat. Acad. Sci. USA 1999, 96, 8344.

NMR Line-Shape Analysis A = intensity of NMR signal (y axis)  = frequency (x axis) M 0 = some magnetization constant, determined in a separate experiment  1 =  obs –  0 for signal 1 (offset)  2 =  obs –  0 for signal 2 (offset) At a given temperature where intermediate exchange is observed, k = k 1 + k –1 can be determined by fitting:

Exemplary Data — NMR Line-Shape Analysis k = 17.5 s –1 k = 735 s –1 k ~ 3500 s –1 - Red traces are fitted curves, black traces are actual data. - There is a built-in module in TOPSPIN that does this fitting (CG?).

Exemplary EXSY data for guest exchange Integrate 3D on-axis peaks and cross peaks to obtain k 1 and k –1 See Perrin, C. L.; Dwyer, T. J. Chem. Rev. 1990, 90, for a review “Me out ”“Me in ”